msc statistics personal statement

Perfect Statistics Statement of Purpose: Examples and Advice

Are you considering applying to a master’s program in statistics? If so, you’ve come to the right place. Crafting a compelling statistics statement of purpose is a crucial aspect of your application process, and you’ll want to make sure you stand out from the crowd. In this blog post, we will delve into the intricacies of crafting an exceptional statement of purpose for your application. We will provide you with comprehensive statistics statement of purpose examples, backed by expert advice from our experience as a director of graduate admissions. Our goal is to equip you with the essential insights needed to become a successful applicant. So, let’s dive in and discover how to captivate the admissions committee and increase your chances of gaining admission to your dream statistics program!

Statements of purpose: the basics

A statement of purpose is a crucial document required for your application to any graduate school, showcasing your career path, interests, achievements, and goals. It’s more than just a formal requirement; it provides the admissions committee with insights into who you are beyond your grades. An effective SOP articulates your passion for the field of study, explains why you are a suitable candidate, and demonstrates your potential to contribute to your target field. Typically, it should highlight your academic and professional achievements that align with your chosen program, elaborate on your relevant experiences and skills, discuss your future career goals, and convey why the specific program and institution fit your academic and career objectives. Although there is no one-size-fits-all approach for crafting an SoP, it should be concise, coherent, and compelling, maintaining a fine balance between personal elements and academic/professional aspects to let your unique personality shine through.

The importance of the statement of purpose for Ms in Statistics

The statement of purpose for an MS in statistics is a vital component of your application as it underscores your specific interest in the field, your preparedness, and your future objectives. This SoP serves to highlight your analytical skills, logical reasoning, and your ability to work with complex data – all essential skills for a statistician. The admissions committee will look for proof that you understand the challenges and rewards of this field, evidence of your previous studies or work in statistics, and how these have shaped your interest and readiness for advanced study. Furthermore, your SoP should represent your understanding of the role of statistics in the real world, demonstrating your awareness of its applicability across various industries, like science, business, technology, and social sciences. A well-crafted SPP for an MS in statistics can showcase your potential for innovative thinking, problem-solving, and your commitment to contributing to the field of statistics. Therefore, it is of paramount importance to spend time and effort crafting a compelling statement of purpose that successfully portrays you as a passionate and capable candidate for the MS in statistics program.

What admissions committees are looking for

Admissions committees are looking for several key elements in a statement of purpose. First and foremost, they are interested in your passion for statistics and how it developed, alongside any academic and personal experiences that have driven this interest. They want to see evidence of your understanding of the discipline, including its practical applications and importance across various industries. Beyond this, the committee is keen to understand your academic preparation for the course, seeking strong quantitative skills, previous statistical coursework, and research experience if any. Your ability to think critically and analytically about statistical problems, as well as your capacity for innovative thinking, is of high interest. Another vital aspect is your career objectives, specifically how the MS in statistics aligns with these goals. They want to see that you have considered your future in the field and that you are committed to making a significant contribution to the world of statistics. Finally, an understanding of what the program offers and how it can help you achieve your objectives is crucial, showing that you have done your research and are sure of your decision to apply. This combination of passion, preparation, clear goals, and a match with the program forms the crux of what an admissions committee is looking for in a compelling statement of purpose.

What are the key elements of outstanding statistics statement of purpose examples?

The statistics statement of purpose examples that follow first establish a strong and genuine passion for statistics, providing a compelling narrative about how this passion was sparked and nurtured. They then delve into your academic journey, highlighting relevant coursework, research, and internships that have fortified your knowledge and skills in statistics. Quantitative abilities can be emphasized, along with examples of critical and analytical thinking in solving statistical problems. These statistics statement of purpose examples also articulate clear and realistic career goals within the field of statistics, demonstrating a deep understanding of the discipline’s practical application. Importantly, they should clearly state why you are drawn to the specific MS program, showing familiarity with the program’s curriculum, faculty, and resources. This includes outlining how the program aligns with and supports your long-term career objectives. These statistics statement of purpose examples also reflect innovative thinking and potential contributions to the statistical field. In essence, an outstanding statement of purpose would weave together passion, preparation, clear career objectives, and alignment with the specific MS program into a compelling narrative that resonates with the admissions committee.

The basic structure of a statistic statement of purpose

Outline of the basic structure of a statistics statement of purpose: examples, introduction.

a. Background: Brief overview of your academic background and how your interest in statistics was sparked.

• Example 1: Inspired by my fascination with interpreting complex data during my undergraduate degree in computer science, I was naturally drawn toward the field of statistics. The ability to decode patterns and predict trends in real-world scenarios sparked my curiosity and drove me to delve deeper into the field.
• Example 2: While pursuing my degree in economics, I was particularly captivated by the role of statistical methods in economic predictions and policy-making. The intersection of numbers, patterns, and impactful decisions fueled my interest in statistics, and I am eager to explore this domain further.
• Example 3: As a mathematics major, I was intrigued by how statistical theories could transform abstract numbers into insightful narratives. This revelation of statistics as a storytelling tool was a turning point, leading me to pursue a future in this compelling field.

b. Purpose: Statement of your intention to pursue a master’s in statistics.

• Example 1: My endeavor to contribute to the world of data-driven decision-making has led me to apply for the master’s in statistics at XYZ University. I believe this is the next logical and necessary step toward fulfilling my aspirations of becoming a proficient statistician, capable of transforming raw data into meaningful insights.
• Example 2: I aim to delve into the realm of advanced statistical methods and their applications across various industries through the MS in statistics program at XYZ University. I am confident that this program will equip me with the necessary tools and skills to excel in my ambition of becoming a data scientist in a globally recognized firm.
• Example 3: My objective in pursuing a master’s in statistics is to deepen my understanding and mastery of statistical methodologies. With a desire to apply complex statistical theories to real-world problems and contribute significantly to the field of big data and predictive analysis, I regard XYZ University’s program as the perfect platform to achieve these goals.

Academic Journey

a. Relevant Coursework: Highlight specific courses you have taken that have prepared you for advanced study in statistics.

• Example 1: During my undergraduate studies, I engaged in a wide array of statistical courses such as ‘Probability Theory’, ‘Inferential Statistics’, and ‘Multivariate Analysis’. These courses have laid a strong foundation of knowledge, equipping me with the necessary tools to understand and apply complex statistical concepts effectively. My hands-on experience with statistical software packages such as R and Python further enhanced my proficiency in data manipulation and statistical analysis.
• Example 2: My academic journey has been steeped in statistics and data analysis, with coursework like ‘Statistical Modelling’, ‘Data Mining’, and ‘Applied Regression Analysis’ forming the backbone of my learning. These rigorous courses not only honed my analytical skills but also stimulated my curiosity for deeper knowledge in the field. The practical experience I gained from using SPSS and SAS for various class projects has also prepared me for advanced statistical studies.
• Example 3: My undergraduate curriculum comprised robust statistical courses such as ‘Stochastic Processes’, ‘Design of Experiments’, and ‘Time Series Analysis’, which have significantly strengthened my statistical acumen. Additionally, I have gained substantial experience in utilizing statistical software including MATLAB, equipping me with the technical prowess needed for in-depth data analysis and interpretation. This comprehensive coursework and practical exposure undoubtedly form a solid foundation for my advanced study in statistics.

b. Research and Internships: Discuss any research or work experiences that have reinforced your statistical skills.

• Example 1: During my third year, I interned at ABC Financial Services, where I applied statistical methodologies to analyze and interpret complex financial data. This enabled me to hone my skills in regression analysis and hypothesis testing, helping the firm make informed decisions. Further, I utilized R and Python to automate data cleansing processes, streamlining the company’s data management practices.
• Example 2: My role as a research assistant at XYZ Institution provided me with an opportunity to apply statistical knowledge in a real-world setting. My involvement in a project investigating population health trends required me to manage large datasets, apply machine learning models, and interpret results using SPSS. This experience furthered my understanding of how statistics can inform public health policy decisions.
• Example 3: Working as a data analyst intern at DEF Tech, I got a chance to collaborate with a team on a project focused on improving user experience. I applied statistical techniques like A/B testing and multivariate analysis to understand user behavior, which led to a significant improvement in the product interface. This experience allowed me to sharpen my skills in data analytics and interpretation, while also introducing me to the practical applications of statistics in software development.

Career Goals

a. Short-Term Goals: Specify your immediate objectives after completing your Masters.

• Example 1: Immediately upon graduation, my goal is to secure a position as a data scientist with a leading technology firm such as X, Y, and Z. I aim to apply the advanced statistical methodologies and data management skills I have developed during my master’s program to real-world problems, helping my employer make data-informed decisions and drive innovation.
• Example 2: My short-term goal post-master’s degree involves joining a research institution such as D, E, or F as a data analyst. I aspire to contribute to ongoing projects by employing my understanding of statistical techniques, machine learning models, and data analysis tools. This step aligns with my passion for research and my ambition to impact society through informed research findings.
• Example 3: One of my immediate objectives after completing my master’s is to work as a financial analyst in a dynamic financial services firm such as GHY. Leveraging my statistical skills, I intend to analyze and interpret complex financial data, assisting companies in making sound financial decisions. My interest lies in streamlining and improving financial data management practices, and I believe this role will provide the ideal platform for achieving this.

b. Long-Term Goals: Explain your long-range career plans.

• Example 1: For the long term, I envision myself leading a data science team in a tech-based company such as ***, driving the strategy and execution of data-driven initiatives. I aspire to utilize my expertise in statistics and data analysis to influence key business decisions, ultimately enhancing the overall business performance and profitability.
• Example 2: In the long run, I aim to contribute to academia as a leading researcher in the field of statistics and data analysis as a full professor in a research one institution. My goal is to publish influential research papers and guide budding statisticians. I believe in the power of research to bring about substantive change and intend to dedicate my career to advancing knowledge in this domain.
• Example 3: Ultimately, my objective is to ascend to a senior financial management role where I can leverage my statistical acumen to improve financial decision-making processes, drive cost efficiencies, and foster financial growth. I am driven to utilize my analytical skills in a way that has a broader impact on my organization’s financial health and success.

Reasons for Choosing the Specific MS Program

a. Program Fit: Demonstrate how the MS program aligns with your academic and career goals.

• Example 1: The MS program’s emphasis on practical data analysis and application perfectly aligns with my career goal of leading a data science team in a tech-based company. The program’s curriculum covers the essential skills I need to extract, analyze, and interpret data effectively. Course XYZ will enable me to develop DEF skills. The opportunity to work on real-world data-driven projects via the capstone project will provide me with hands-on experience, preparing me to handle complex business scenarios and make informed decisions.
• Example 2: The MS program’s rigorous focus on research methodology and statistical theory is a vital component of my long-term aspiration to contribute to academia as a leading researcher. Professor B, renowned for their research in statistics and data analysis, possesses expertise in H and F that will be invaluable in helping me reach my research goals. The program’s emphasis on producing influential research will equip me with the tools necessary to enroll in a top PhD program.
• Example 3: The MS program’s blend of statistics and financial analytics is perfectly in line with my ambition to ascend to a senior financial management role. Its comprehensive coursework in financial modeling, predictive analytics, and risk management, such as X, Y, and Z courses, combined with the application of these skills in real-world financial scenarios through the financial lab, will equip me with the knowledge and practical skills I need to enhance my organization’s financial decision-making process and drive financial growth.

b. Contribution to the Program: Discuss how you can contribute to the program.

• Example 1: My extensive background in data analysis, combined with a solid understanding of computer programming, positions me strongly to contribute to the program’s data science projects. I can assist in building analytical models and developing algorithms, providing a fresh perspective and innovative solutions to complex problems. Additionally, my experience in mentoring junior team members can bring valuable leadership to group projects and collaborative assignments.
• Example 2: My academic background in statistics, coupled with my passion for research, will allow me to contribute significantly to the program’s research initiatives. I intend to actively engage with the faculty and peers in research discussions and seminars, bringing forth my ideas and insights molded by my diverse academic exposure. Furthermore, my experience with research publications can be utilized to assist others in publishing their studies, further enriching the program’s academic repository.
• Example 3: With my robust experience in the financial sector, I can offer an industry perspective to the program’s financial analytics curriculum. I can contribute to class discussions with relevant industry examples, enhancing the practical understanding of theoretical concepts for my classmates. Additionally, I can leverage my network within the financial sector for guest lectures or internships, offering students exposure to real-world financial managerial strategies and decision-making processes.
• Example 1: To sum up, my diverse experience in data analysis and computer programming, combined with my ability to mentor and provide leadership, makes me an excellent fit for the statistics program. I am confident that I will not only gain substantial knowledge from the program but also contribute meaningfully to data science projects, shaping innovative solutions for complex problems.
• Example 2: In conclusion, my academic background in statistics and passion for research are the driving forces behind my intention to join the statistics program. I am eager to actively contribute to X, Y and Z activities, provide my unique insights, and assist in expanding the program’s academic repository. I believe my dedication to research and academic growth will make a significant impact on the program’s initiatives.
• Example 3: Conclusively, my extensive experience in the financial sector and a keen understanding of financial analytics will be valuable assets to the statistics program. By offering industry perspective, enhancing practical understanding, and providing real-world exposure to students, I’m confident that I can contribute significantly to the program by joining the *** club. My aim is to bridge the gap between theoretical knowledge and real-world application, fostering a comprehensive learning environment for my peers.

The high stakes of crafting your statement of purpose: a make-or-break challenge

While these statistics statement of purpose examples are insightful and well-articulated, it’s crucial to remember that crafting a compelling statement of purpose for a statistics program is a daunting challenge that one should not underestimate. This is not merely a document; it’s your gateway to your dream program, a platform where you introduce yourself, express your aspirations, and showcase your potential to the admissions committee. A single error, an overlooked detail, or a misplaced phrase could tilt the scales unfavorably.

Ask yourself: are you ready to stake your future on a single document? Are you certain that your statement of purpose will stand out among hundreds of others? With the competition being fierce and the stakes high, this is not a process to be taken lightly. It may be advantageous to seek assistance from experienced professionals to ensure that your statement accurately reflects your skills, passions, and potential, thus significantly bolstering your chances of securing admission to your desired program.

With proper assistance, there are no boundaries to your aspirations. By leveraging expert help, you can ensure your statement of purpose reflects the very best of your abilities, skills, and passions, propelling your application to the forefront. The journey towards your dream may be challenging, but remember, in addition to the statistics statement of purpose examples displayed bove, with the right resources and guidance, you are capable of soaring beyond the limit of your dreams. Take advantage of the support available to you, and seize the opportunity to turn your aspirations into reality.

As demonstrated by the statistics statement of purpose examples above, taking the time to craft a compelling statement of purpose that showcases your skills and experiences is an important part of your overall MS in statistics application. You’ll want to give yourself plenty of time to fully consider all aspects of your story, do thorough research on the program you’re applying to, and utilize resources like the ones provided here to create a shining statement of purpose.

In addition, reaching out to professionals or experts in the field can help guide and provide valuable feedback on the final version. With thoughtful effort and access to guidance from experts, you can increase your chances of gaining admission into your dream statistics program! Additionally, if you’re feeling overwhelmed by all the components involved, remember that there are resources available such as our graduate school application essay services that can help ensure your application materials are ready to wow admissions officers – so don’t hesitate to take advantage of this opportunity! In the end, showcasing your submission packet confidently will surely increase your chances of success in obtaining entry into a top-tier statistics program. Good luck!

With a Master’s from McGill University and a Ph.D. from New York University, Dr. Philippe Barr is the founder of The Admit Lab . As a tenure-track professor, Dr. Barr spent a decade teaching and serving on several graduate admission committees at UNC-Chapel Hill before turning to full-time consulting. With more than seven years of experience as a graduate school admissions consultant, Dr. Barr has stewarded the candidate journey across multiple master’s programs and helped hundreds of students get admitted to top-tier graduate programs all over the world .

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Reset password, create a free fasthire account, personal statement for msc statistics and mathematics.

• July 11, 2022
• Personal Statement

When applying for admission for abroad studies, you’re usually expected to include a personal statement. The statement of purpose gives the admission committee insight into your decision and preparedness for the program. It also helps to convince the admission team that you’re a good fit for the school.

P.S: This Personal Statement for MSc Statistics and Mathematics was provided for education purposes only, do not copy it. If you need assistance writing yours, click here to hire our experts today .

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Mathematicians and Statisticians alike have both played a key part in the development of the world as we see it today. From their works in academics to supporting groundbreaking developments through science and engineering, their contributions cannot be overemphasized in our modern society. I have often marveled at how the two disciplines could be mutually important in application yet unique in their way. As a professional with an academic background in Economics, I am conversant with the importance of mathematical concepts in creating models that help maintain the wheels of our economy. For instance, mathematicians and economists work together to develop models in evaluating the current status of our economy while putting into consideration the data from different players of the economy. The results of these types of models can be utilized to predict and suggest the prices for goods and services predict potential risks and suggest ways to mitigate them. It is this understanding of mathematics that has developed into an admiration for its study.

One of the advantages of a science degree is the diverse opportunity that comes with it. As a way to stay productive while seeking admission for my master’s program after my first degree, I joined a multimedia company where I have been able to advance my computer knowledge and ability to work with large data. This master’s degree is important to me because it will help me synthesize my economic knowledge with statistical and mathematical methods and principles. This degree will create a whole new level of competence for me in my career; certainly, when I kickstart my career either as a data analyst, or economist, the knowledge from this program will aid me in proving, disproving, and forecasting economic performances from a strong statistical standpoint.

My academic record shows my strong analytical background which will aid my understanding of the modules that will be covered in this program. With a Bachelor’s Degree in Economics, I am in a fortunate position to transfer some of the knowledge from my undergraduate studies into this current academic pursuit. During my O level and A level maths, I had a particular interest in statistics, and with each opportunity that I had to engage in statistical modelling using mean, mode, distributive curve, and probabilities. My decision to go for a master degree has always been there since my second year in undergraduate studies. I wished to improve my analytical abilities in data science and applied statistics.

Fortunately, I discovered this program by Brock University that perfectly combines maths and statistics in one program. Brocks University fulfils my study dream because of its excellent ranking, facilities and expert faculty lecturers. With the 2 years that will spend on this study; I am confident of augmenting the analytical background that I already have from my undergraduate study with a more refined knowledge. More so, your modules in statistics interest me because it caters for the latest advancements in data management by focusing on data science which is a strong point for me because of my future career ambition in the data management field.

I am hardworking and possess strong logical reasoning, these competencies enable me to stay relentless and committed to any cause that I take up even the seemingly difficult ones. I believe that my qualities and vision, together with my excellent academic record suggests the chances of me attaining success, both in this degree program and in my preferred future career. Hence, I believe that I would be a good addition to this program. I look forward to your consideration.

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PHD Statistics Statement of Purpose Sample

Giving my all to my projects for my classes in Statistics and Econometrics has enabled me to become adept at managing large datasets and running simulations using R and STATA. Thanks to my Computer Science classes I am now efficient in modeling data structure and algorithms using Java and Python. At Data Fest, I mastered data cleansing and sample splitting, while modeling energy consumption predictions based on numerous industrial factors. Working on a research project with Professors Tania, Trapani, and Halvorsen helped me to master the statistical analysis of given data sets of interspike-intervals based on the mathematical models suggested. I learned new methods and how to run them such as Method of Moments, Newton-Raphson Reiteration, and the Kolmogorov-Smirnov Test. I have also cultivated perseverance and find great joy in my engagement with state-of-the-art research.

Since completing my undergraduate studies, for the past 3 years, I have been working as a PPC (pay per click) analyst. I run ads on Google for the company’s products and pay whenever users click ads. One of the most wonderful aspects of the PPC industry is almost everything is real time: cost, revenue, clicks and even customer data; millions of clicks are accompanied by millions of possible new customers and their data. Not only managing advertisements, I also deal with big data. I have honed my interpreting skills with real-world projects through SQL and Excel. One of my favorite projects was to analyze ad performance based on distance between the buyer’s shopping address and destination addresses where the purchased products would be in use. With the results, I built ad campaigns where different strategies where employed for different radii targets. In fact, the data that I am compiling has almost endless potential.

While utilizing data is a hot topic in the online marketing industry, I have been able to find only a few tools equipped with reliable technologies that can actually help marketers at deeper levels such as reading contextual signals upon which to base predictions. I look forward very much to contributing to developments in this area in the future. I am convinced that my destiny lies in data mining, machine learning and data visualization, and I hope to immerse myself in these subjects as a graduate student.

I have given countless hours to a variety of regressions models, classification methods and learning models including support vector machines. I have also made a constant effort to polish my visualization skills through Tableau, R, and Python. I have had ample opportunities to present my contributions to academic research, class projects, and workplace projects, and I increasingly appreciate how visualization is as important as the data itself since well-visualized data can be comprehended by almost any audience.

While data mining and machine learning have limitless potential in countless fields, the specific area in which I would like to make my mark, beginning with research in your doctoral program at UMass Amherst, would be to develop a tool that can diagnose diseases based on individuals’ online activities including search queries and posts on social media. Ultimately, I would like to design and develop a personalized medical assistant that tailors itself to the medical needs and resources of each individual, thus increasing and enhancing access to medical advice and treatment at a reasonable cost. With an observational study I conducted as a final project for my statistics class in college, I could see that coming from a low-income family, for example, has a more significant effect on students’ academic achievements than race or even disability. I further confirmed the notion that low-income families are more vulnerable to changes in health care systems through a project for my macroeconomics class dealing with US health care system. These prompted me to include helping the least fortunate members of society to improve their circumstances as part of my own professional goals. I aspire to build other personal tools later on as well, all of them oriented towards the noble goal of helping individuals and organizations.

Beginning my doctoral studies in Statistics will be the beginning of a new journey that will never end, and I wish I can start it at the Pioneer Valley. As a graduate of Smith, I am well aware of how much investment and support have been put in statistics and data science in the valley, providing students and researchers ample research opportunities. I have faith that I can continue to grow enormously and better myself personally, intellectually, and professionally, just like I did at Smith. I also firmly believe that my research can contribute to your university and academic community as well as millions of people who would benefit from the research. For all these reasons I am confident that University of XXXX is a great place for me to pursue a PhD. I thank you from the bottom of my heart for considering my application.

The Personal Statement of Purpose for Graduate Study in Statistics, Masters, PHD.

Statistics  is the study of the collection, organization, analysis, interpretation and presentation of data. This includes the planning of data collection in terms of the design of surveys and experiments. A statistician is someone who is particularly well-versed in the ways of thinking necessary for the successful application of statistical analysis.

 Statisticians improve the quality of data by coming up with specific designs for experiments and surveys. Statistics itself also provides tools for prediction and forecasting the use of data and statistical models. Statistics is applicable to a wide variety of academic disciplines including both the physical and social sciences. Statistical consultants are available to provide help for organizations and companies without direct access to expertise relevant to their particular questions, issues, and challenges.

 Statistical methods can be used for summarizing or describing a collection of data. Descriptive statistics is an area that is particularly useful in research when communicating the results of experiments. Patterns in the data may be modeled in such a way as to account for randomness and uncertainty in the observations, and are then used for drawing inferences about the process or population being studied. The area of inferential statistics is particularly vital for scientific advance since it provides a means for drawing conclusions from data that are subject to random variation. Conclusions are tested in accordance with scientific method. Descriptive statistics and analysis of new data tend provide additional information with which to evaluate the truth of a proposition.

Statements of Excellence in Statistics

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Sample 1st paragraph, MS Applied Mathematics and Statistics, Chinese

I help as many people as I can in the area of Statistics, providing an eloquent and convincing voice for applicants who think analytically and are better at Mathematics than they are writing. Sometimes, applicants in Statistics and Applied Statistics have difficulty putting their thoughts into words. I want to help.

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Master's statement of purpose applied statistics.

Born and raised in China, numbers have stood at the center of my world since my childhood because Mathematics was always what I did best and still do. Since early adulthood, I have increasingly gravitated towards Applied Mathematics as a focus, especially everything having to do with Statistics. I could not be happier fully engaged in the magic world of using numbers and symbols to solve real world problems.

After I graduated from high school, my family moved to Canada, and I was able to complete my undergraduate studies in Statistics, Actuarial Science, and Mathematics at the University of XXXX. Thus, I have had the opportunity to build a solid foundation in Statistics, including Advanced Calculus, Ordinary Differential Equation, Probability, Data Analysis, Multivariate Analysis, Time Series, and Stochastic Methods, etc. I graduated from UT with honors and went on to work in the banking industry.

In my third year at UX, I completed an internship in the development of Marketing models at the Analytics Resourcing Center, and I dove in head into the fascinating world of Big Data. I conducted customer segmentation analysis with extremely large volumes and high dimension data, campaign analysis, and promotion design for retail chain stores using Machine Learning techniques. This experience opened up my horizons greatly with respect to advanced modeling techniques and also helped me understand how to abstract statistical models in accordance with business needs. After graduation, I worked as an Actuarial Analyst for the School Boards’ Co-operative Inc.

I mastered the Mixed Effect model while working on a one-year statistical collaboration project on reduction in neuron cell experiments during my last year at UX. I now appreciate how the Mixed Effect has enormous advantage over the General Linear Model. Furthermore, by applying a Gradient Decent approach, I was able to optimize the model for my purposes and I was delighted with the results and was left feely most inspired about possibilities for applications. I soon began to realize that I have a gift for statistical modeling in detail and nothing brings me greater joy. This is where my passion lies.

Currently, I work as a retail risk model developer in TD bank, using classical statistical models. Since this position requires documentation of how each statistical decision is made, I have a chance to investigate numerous details about each algorithm. The most exciting part of Statistics for me is the challenge of finding ways to harness the power of scientific data to accurately predict real-world phenomenon. I see Statistics as a science capable of overcoming all kinds of challenges in the quest to maximize the utility of information. I have experienced how advanced statistical techniques can resolve data challenges in industry.

I look forward to a long professional lifetime serving as a researcher in the statistical modeling industry, discovering and resolving statistical challenges. For my purposes, Statistics is a scientific tool which harnesses the power of numbers for solving real-world problems. My diverse work experience with multiple industries has enabled me to gain exposure to a broad variety of modeling methods including but not limited to the classical linear model, machine learning and stochastic process. I have wrestled with many different kinds of data challenges from hundreds of observations that do not fit any frequently used distribution to billions of observations in thousands of dimensions. I thrive on the challenge of finding scientific ways to making less intuitive data reflect and accurately predict real-world phenomena.

I have used multiple machine learning techniques in Python and R platforms; and observed the pros and cons of cases while comparing different modeling methods. I understand and appreciate how retail risk models are long-term, predictive power driven. Accuracy, explanatory power and conservatism are equally important. I fully understand how, within the range of linear models, scientific support for each decision is needed; coefficient analysis between triple or quadruple interactions must be conducted; and how the survival and loss model is often of great utility. Always inspired by and engaged with the latest research topics, reading myself to sleep almost every night, even under a full workload with constant pressure. I especially enjoy the quest to prove the usefulness of a methodology via statistical and mathematical methods.

Committed, enthusiastic, and dedicated to what I love, I was given to music in my early years, since I was trained to become a professional classical pianist and came close to that dream. Now, however, while I still play sometimes to destress, my music is entirely in my head, symbols, numbers, real-world dreams in big data. Most of what I play these days is Jazz, in which I am self-educated. This inspired me to begin a non-profit music media company when I was in my 2 nd year of college. I am also an accomplish programmer in R, Python and SAS. I also think of programming as part of the music that I want to make in the future.

I thank you for your consideration of my application to Applied Statistics at XXXX University.

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• FindAMasters
• Data Science Masters Personal Statement Sample

Written by Ben Taylor

This is an example personal statement for a Masters degree application in Data Science. See our guide for advice on writing your own postgraduate personal statement .

The emergence of big data over the past decade as a power for good – and, dare I say it, evil – has convinced me of the importance of developing and honing my skills in this arena. I’m keen to ‘future-proof’ my career and I believe that your MSc Data Science degree is the programme to help me achieve my goals.

Although I don’t come from a traditional STEM background, having studied a Bachelors degree in Linguistics, the professional experience I’ve gained since graduating has given me a solid foundation in the principles associated with data analytics. I’ve worked for two years as an SEO and PPC Executive for a major e-commerce agency, helping to provide insight into website traffic trends and advert effectiveness, and suggesting ways to boost online performance. I’ve used tools like Semrush and Moz, as well as Google Analytics and Search Console, and crave the opportunity to delve even deeper into the world of data outside of an e-commerce agency.

The potential applications of machine learning and natural language processing are particularly fascinating to me. I’ve watched with interest the arrival of deep learning software that purports to generate unique content based on user prompts. Although the end-product of these programmes is sometimes crude, I think they’re incredibly promising.

The coronavirus pandemic has also shown the value of big data in a healthcare setting, with large-scale modelling a vital source of information and guidance for policy-makers across the globe. The pandemic has also illustrated the importance of presenting this data in a clear and responsible manner and I’ve been impressed by the development of the UK’s own coronavirus statistics dashboard, which I think should be seen as a benchmark standard.

I think that your conversion course is perfectly tailored for my skillset, as someone with an amateur, self-taught background in coding (including the basics of Python). I’m looking for a rigorous degree that will challenge me and ultimately equip me with the knowledge to make a meaningful contribution in the private or public sector in the coming years. I hope to apply my new-found expertise in a company with a start-up culture, perhaps in the fin-tech sector where algorithmic know-how is in high demand.

Find a Masters in Data Science

If you're interested in a studying Data Science, then why don't you check out our regularly updated catalogue of available Data Science Masters courses .

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Statement of academic purpose

While all programmes require you to submit a statement of academic purpose, a few programmes require you to follow a specific format when writing your statement. these specific requirements are detailed below., statement of academic purpose – all programmes, excluding those listed below.

You must upload a statement that explains your academic interest in, understanding of and academic preparedness for the programme(s) you are applying for. You should also explain the academic rationale for applying to the programme(s) you have chosen. If applying for two programmes, you are strongly encouraged to write a separate statement for each programme. The statement of academic purpose is an important part of your application, and selectors are looking for evidence of your academic suitability and motivation, and of what you can contribute academically to the programme. We expect statement(s) to be between 1,000 - 1,500 words. 

Please address the following questions/prompts in your statement(s) 

Academic Motivations  

• What prompted your interest in this particular field of study? Perhaps you have unanswered questions from your undergraduate studies or professional work, or you would like to further explore issues and ideas raised in your curricular or extra-curricular reading? 
• Why would you like to study your chosen programme? Perhaps it offers a particular approach, or there are specific modules that will help you develop necessary skills or knowledge. Perhaps the research interests of the academics teaching on your programme, and/or the wider research culture of the department align with your own interests and academic/professional aspirations? 

Suitability 

• What makes you suitable for this LSE programme? Perhaps you have taken relevant undergraduate modules, or have relevant professional, voluntary, or other experience that has prepared for postgraduate study in this area? 

Purpose and Objectives  

• What do you hope to get out of this particular LSE programme? How would this particular programme help you to achieve your personal, academic, and professional goals? Take the time to explain your academic or professional  aspirations and goals, and how your chosen programme will impart the necessary skills and knowledge. Please avoid general statements about LSE’s performance in global rankings, and  generic statements about London being a global/cosmopolitan centre of excellence. 

If there are circumstances that have disrupted your education/significantly interfered with your learning (for example, health problems, displacement, long-term caring responsibilities), please feel free to let us know about them in a separate document added to your application (you can upload this document via the ‘Additional Item’ upload option). If appropriate, please also consult the advice we give to applicants from a forced migration background here , and from a care-experienced background here . 

Please ensure that your statement(s): 

Are all your own work. If we discover this is not the case, your application may be cancelled

Are well-written, well-structured and specific to the programme(s) applied for

Are proofread before being uploaded, and the final correct versions are uploaded

Only include that which is relevant to your programme choice(s). Additional information regarding unrelated extra-curricular activities, personal achievements or work experience should be included in your CV

Have your name and the title of your chosen programme in the header or footer of every page 

MSc Health Data Science

In addition to following the general guidance, please be sure to clearly outline your background in mathematics, statistics or other quantitative subjects. If your background is outside of mathematics or statistics then you should provide further explanation of how your experience is relevant to the programme applied for, as well as further details of your current studies. 

MSc Media and Communications (Data and Society)

If you are applying for this programme, please note the following specific requirements for your statement of academic purpose.

Write a short statement (up to 600 words) about why you want to do the programme. This might cover, for example, what suits you to the programme: your experiences and skills in relation to the analysis of data and society; what attracts you to this particular programme and where you see yourself in ten years after the programme.

In addition, please write a response (up to 400 words*) to  one  of the following questions. You might do so by relying on relevant authors and concepts from previous courses or independent study, as well as on professional experiences.

• What is the most pressing social, political or ethical issue related to data and society? Why should we study it?
• How useful is the concept of "big data"? What are its limitations?
• What consequences do data-based systems have for individuals? How should we address these?
• If you could invent a data-based product or service that would change the world, what would it look like? What would be its best feature and what would be its biggest risk?

*The total length of your statement of academic purpose, including the answers to the above questions, should therefore be between 800-1,000 words.

MSc Media, Communication and Development

Write a short statement (up to 800 words) about why you want to do the programme. This might cover, for example, what suits you to the programme: your experiences and skills in relation to social justice, development or communication; what attracts you to this particular programme and where you see yourself in ten years after the programme.

Also answer the following questions (your answers should be approximately 250 words each)*:  

• What should a developed society be like according to you?
• How will studying theory help you to understand development and communication practice?
• Why do you think we need to be critical of aspects of contemporary communication and development?

  *The total length of your statement of academic purpose, including the answers to the above questions, should therefore be between 1,000-1,500 words.

MSc Social Innovation and Entrepreneurship

Write a short statement (up to 600 words) about why you want to do the programme. This might cover, for example, what you will bring to the cohort, and what your particular strengths are.

Also, you should answer the following questions (your answers should be approximately 500 words each):

• Tell us about an experience you had with social innovation /entrepreneurship/ a project with high social impact. What role did you play and what did you learn about yourself?  
• How will your past experience, combined with this LSE masters, help you to achieve your goals?

The  total length   of your statement  – including the answers to the above questions - should therefore be  between 1,100 & 1,600 words .

Department of Statistics - MSc Programmes

MSc in Data Science - G3U1

MSc in Statistics (Social Statistics) - G3U2

MSc in Statistics (Social Statistics) (Research) - G3U3

MSc in Statistics (Research) - G4U1

MSc in Quantitative Methods for Risk Management - G4U2

MSc in Statistics - G4U5

MSc in Statistics (Financial Statistics) - G4U6

MSc in Statistics (Financial Statistics) (Research) - G4U7

Your statement should explain why you are pursuing your selected programme and why you have chosen LSE's Department of Statistics. Brief details of your academic background and aspirations are also useful. If your background is outside of mathematics or statistics then you should provide further explanation of how your experience is relevant to the programme applied for, as well as further details of your current studies. 

Your statement should be concise and should not exceed 500 words .

Executive MSc in Health Economics, Outcomes and Management in Clinical Sciences

Your statement should be typed and no longer than three sides of A4 paper and should address the following questions:

• What are your career goals over the near (2-3 years) and medium term (5-7 years)?
• In concrete terms, how will your career benefit from completing this programme?

In addition, you may wish to discuss the following:

• Motivation for undertaking the programme
• Academic interests, strengths and background relevant to the programme
• Areas of specific interest within the programme
• Academic ambitions and/or research interests related to the programme
• Any professional aspirations, and how academic work within the programme might help you realise such aspirations
• Other relevant information, such as additional reading or research, work or other relevant experience that has informed your decision to apply for the particular programme

Please ensure that your statement:

• Is all your own work. If we discover this is not the case, your application may be cancelled
• Is well-written, well-structured and specific to the programme applied for
• Is proofread before being uploaded, and the final correct version is uploaded
• Has your name and the title of your chosen programme in the header or footer of every page

Executive Global MSc in Management

Your personal statement should be a maximum of 2 pages long, and highlight why you want to do the programme.  Make sure you address the following points:

• details on your suitability for the programme
• your motivations for choosing this programme in particular and what you hope to get out of it
• any career highlights to date, in particular any leadership or international experience
• future career objectives and how you think the programme will help you achieve them
• what you think you can bring to the classroom learning environment that makes you stand out from other applicants

Executive MSc in Social Business and Entrepreneurship

The Academic Statement of Purpose consists of two parts.  The total combined word count for both parts should not exceed 1,200 words.

• A personal statement: Your personal statement should persuasively explain why you want to do this programme. This may include your personal suitability such as career achievements and ambitions, what you hope to get out of the programme, your particular strengths, and what you will bring to the cohort.  600-700 words.
• For the second part, please submit your thoughts on the following statement.  400-500 words. “The business of business is social improvement. Describe briefly the role of markets in social progress.”

Atlantic Fellows Residential programme with MSc Inequalities and Social Science

Your statement(s) should be typed and no longer than two sides of A4 paper. There is no fixed word limit, but we expect statement(s) to be no longer than 1,000 - 1,500 words. 

In your statement(s), you should address the following:  

• Why are you interested in joining the AFSEE programme and what do you hope to gain by being part of it? In your answer, please:  

 o   Describe what area of socioeconomic inequality you engage in and the type of work you have done.  

o   Please give examples of how you have meaningfully contributed to collective endeavours to address inequalities.  

o   Explain why you would like to learn more about social and economic equity and how this will contribute to your social change work.  

o   Explain, in one to two paragraphs, the MSc dissertation you plan to undertake as part of the requirements of the MSc in Inequalities and Social Science. 

• Within 5 years of completing the AFSEE programme, what do you hope to achieve in your work/field? How do you see participation in the AFSEE programme contributing to you achieving those goals? 
• What academic knowledge would you like to gain via the MSc in Inequalities & Social Science and how do you plan to apply this knowledge to your future work on social change?
• Please indicate any research interests.

Atlantic Fellows Non-Residential Programme

In your statement(s), you should address the following: 

Why are you interested in joining the AFSEE programme and what do you hope to gain by being a part of it?  In your answer, please: 

Describe the area of socioeconomic inequality you engage in and the type of work you have done. 

Please give examples of how you have meaningfully contributed to collective endeavours to address inequalities.   

Explain why you would like to learn more about social and economic equity and how this will contribute to your social change work. 

What is the project you are planning to undertake as a part of the AFSEE programme?  Explain it in two paragraphs. 

Within 5 years of completing the AFSEE programme, what do you hope to achieve in your work / field?  How do you see the AFSEE programme contributing to you achieving these goals?

FAQs The Knowledge Base will provide you with answers, and allow you to email us

How to apply Information on the application process, and our video guide

Available programmes Check if your chosen programme is currently recruiting

Current processing times See which date we are currently processing and find out when you are likely to hear from us

News and events Current processing dates, holiday closures, events on campus and around the world

Contact Graduate Admissions Our Knowledge base and getting in touch with our team by Zoom, email, and Live chat

• The University of Warwick

A guide to writing a Masters personal statement

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If you are considering postgraduate study, you will need to think about writing an application that demonstrates why you are the right candidate for the course and their university. This is where your personal statement comes in. 

You’ll already have written a personal statement for your undergraduate application, so the concept should be familiar. However, there are some things you should be aware of when it comes to writing specifically for postgraduate study. 

In this guide, we’ll explain how to write a stand-out Masters personal statement and provide you with some valuable insights from our Masters Recruitment Manager Danielle, here at Warwick Business School (WBS).

What is a Masters personal statement?

An MSc personal statement, also known as a ‘statement of purpose’, supports your application to study a postgraduate course at university. It should highlight your key skills and experience whilst demonstrating your understanding of the course and conveying your academic skills and interests.

From her experience in the Recruitment and Business Development team at WBS, Danielle gives her take on a personal statement: 

Your personal statement is your opportunity to sell yourself and differentiate yourself from any other applicant, share your passion for joining WBS and link your life experiences and skills to how you could contribute to a cohort.

How long should a Masters personal statement be?

A personal statement for postgraduate study should fit within two pages of A4. Whilst you won’t be penalised if it is slightly longer, you should always make sure the content is relevant and doesn’t repeat information elsewhere in your application. 

What do you need to prepare before writing a Masters personal statement? 

Before writing your personal statement for postgraduate study, there are a few things you should consider.

Research your options

Take the time to read through course pages and brochures. You’ll find in-depth information on what the course involves and how it might align with your career goals. Danielle explains how understanding what the course involves is key in demonstrating your suitability and passion for a course: 

All of our course webpages feature extensive information on the course modules, so take the time to show you’ve done your research in your personal statement. Your personal statement is your chance to relate yourself to our core values and demonstrate what a strong candidate you will be for one of our programmes. Ensure you also use this as an opportunity to link our programme to your future career.

Course titles should not be taken at face value. Whilst some universities will have courses with the same titles, the content will differ. You need to demonstrate you understand what the course entails and why you want to apply for a particular course as. Danielle adds:

Take time to look at the content of the course you are applying for; although course titles may be the same at different universities the course content can be different. Do your research and demonstrate this in your personal statement, showing how invested you are in studying at WBS.

Consider what you want from your studies

The range of choice when it comes to postgraduate study is vast, and it can feel overwhelming when deciding which course is right for you. 

Whilst opinions from your friends and family are important, they shouldn’t be the ultimate deciding factor when choosing a course. Ultimately you need to consider what you really want and whether it aligns with your career goals. 

Begin to prepare your application

Once you have decided which course you would like to apply for and you’ve ensured you meet the entry requirements, you will need to begin preparing your application. This includes collecting the correct documentation such as a CV, transcript, personal statement, and reference.

What should you include in a Masters personal statement?

Recruitment and admissions teams receive thousands of applications each year so it is important that your personal statement is to the point and demonstrates what they are looking for in their students. 

Danielle gives some insight into what our recruitment team looks for in a personal statement for a Masters degree:

Aim to keep your personal statement to the point by making sure you answer the following questions, addressing the key points our Selection Committee will be looking for:

• Why have you selected this course? What are your motivating factors?
• How do you see this course benefitting your career plans?
• What will you contribute to your cohort?

As well as addressing these key questions, you should also include the following:

Academic achievements 

You need to demonstrate how your undergraduate study has prepared you for a postgraduate course. You can do this by highlighting specific achievements, projects and pieces of work as well as mentioning any particular topics that interest you. 

Professional achievements

If you completed any professional work experience alongside your studies, it is a good idea to mention them here. Highlight any duties, tasks and responsibilities you had to demonstrate what you gained from this work experience. 

Relevant extracurricular activities

Including information about relevant extracurricular activities you are involved in can help to give a more rounded view of you as a person. This could include volunteering opportunities and any meaningful hobbies you have. 

Transferable skills

Your transferable skills should be highlighted throughout your personal statement. The types of things you could include are presentation skills, communication skills, analytical thinking and time management. Consider what you can bring to lectures and workshops. For example, if your course involves a lot of group work, use an example where you demonstrate your experience with this.

What should you avoid when writing a Masters personal statement?

Repetition of information.

When submitting both a CV and personal statement it can be easy to fall into the trap of just repeating the same information across both documents. Your personal statement is an opportunity for you to reflect and expand on what you have stated on your CV, rather than repeating the same information.

Not providing enough context

Simply listing your achievements without providing context will not prove to the recruitment teams that you are the right candidate for the course. Provide hard evidence to back up the statements you make and try to give two or three in-depth examples, rather than several weak answers. 

Not tailoring your application to the specific university or course

Recruitment and admissions teams are keen to hear why you have chosen a specific course and why you want to attend their university. You need to provide clear examples of what excites you about their institution and how you can align with their particular values.  

What do recruitment teams look for in a Masters personal statement?

University recruitment teams and selection committees review thousands of applications each year. To ensure your application stands out, you must show that you have taken the time to prepare and research your chosen university.

Recruitment teams want to see your passion for the subject and motivations for joining their institution. Detailing your experience and the skills you can bring will help to emphasise this. Danielle also suggests not overlooking the obvious when it comes to writing a personal statement:

It may sound simple but the first answer to this question is that the Selection Committee wants to see a well written, clearly structured personal statement which demonstrates good preparation and research.

What else do I need to include with my Masters application?

The documents you need to include in your application may vary by institution and course. But generally, as well as your personal statement, you will also need to include: 

• Academic and professional references
• Copies of your undergraduate degree certificate and academic transcripts
• A list of final year modules if you're still studying for an undergraduate degree
• A research proposal (not all courses will require this)

If you are an international student, there are some additional things you will need to provide including: 

• A copy of your passport
• Proof of your language proficiency through either a Test of English as a Foreign Language (TOEFL) certificate, or any others that meet requirements outlined on our course pages.

When are the deadlines for Masters applications?

Deadlines for Masters programmes vary quite widely between courses and universities. Information on specific deadlines can be found on their respective course pages and postgraduate brochures . You should aim to make an application early in the cycle to ensure there are still places available on the course.

Deadlines for scholarships and external scholarships can also vary, so if you wish to apply for these, you will also have to factor in these deadlines.

Frequently asked questions

Is there an interview for masters programmes.

At WBS, there are no interviews for MSc courses. Instead, all decisions are made based on the application you submit. Your undergraduate transcript will be reviewed in depth along with your CV and personal statement.

How many Masters can you apply for?

If you are applying to a UK university, you can apply for as many courses and universities as you like. However, you should not over-stretch yourself and you should only apply for courses that you are really passionate about.

Writing an appropriately tailored application can be time-consuming and attempting to write too many could jeopardise your chances of being successful. 

Do you have to pay for your Masters application?

We require an application fee of £75 to cover administrative costs. If you're applying to multiple Warwick courses, remember each course will warrant its own application fee. 

How do I apply for a Masters degree?

We have our own application system, and you can find linked 'how to apply' sections on all of our course pages. 

------------------------

Discover our range of MSc courses at Warwick Business School

Designed for the change makers of the future, our postgraduate courses will drive you to learn, question, debate and make an impact on the world around you.

Our challenging and rewarding courses will provide you with everything you need to take your personal and professional skills to the next level. 

Related Blogs

Alum Sophia shares her incredible journey at WBS - dive into collaboration, new experiences, and distinct academic opportunities

MSc Management student Aditya shares his advice on balancing his wellbeing alongside studies at Warwick Business School.

WBS MSc Mathematical Finance graduate Luxmi Kiran shares his top tips and advice for future students.

MSc in Statistical Science

• Entry requirements
• Funding and Costs

College preference

• How to Apply

About the course

The MSc in Statistical Science is a twelve-month full-time taught master’s degree running from October to September each academic year. The MSc has a particular focus on modern computationally-intensive theory and methods.

The MSc in Statistical Science will aim to train you to solve real-world statistical problems. When completing the course, you should be able to choose an appropriate statistical method to solve a given problem of data analysis, implement the analysis on a computer and communicate your results clearly and succinctly.

The MSc offers a broad high-level training in applied and computational statistics, statistical machine learning, and the fundamental principles of statistical inference. Training is delivered through mathematically demanding lectures and problems classes, hands-on practical sessions in the computer laboratory, report writing and dissertation supervision. You will have around three months to work on your dissertation with guidance from your supervisor, offering you a substantial opportunity for self-directed study and research. 

Students take a mixture of core courses and optional courses. The core courses are compulsory and involve practical components that students must complete. 

Course modules

The core and option modules may vary from year to year, and the lists below may provide an idea of a typical offering.

The core courses available for entry in 2023-24 were:

• Applied Statistics
• Foundations of Statistical Inference
• Statistical Programming
• Computational Statistics
• Statistical Machine Learning.

The option modules available for entry in 2023-24 entry were:

• Stochastic Models in Mathematical Genetics
• Probability and Statistics for Network Analysis
• Advanced Topics in Statistical Machine Learning
• Advanced Simulation Methods
• Graphical Models
• Bayes Methods.

Please note that the modules listed may not be the same for 2024-25 entry. 

Pattern of learning and teaching

You will attend nine units worth of courses (with one unit corresponding to a 16-hour lecture course or equivalent) in addition to writing a dissertation. Depending on how the courses you take split between terms, you can expect to attend four or five (or, in exceptional cases, three or six) courses per term. Most courses have two one hour lectures per week supplemented by four classes (or the equivalent) per term, though for some courses there are associated practical sessions instead of, or in addition to, lectures or classes. The remainder of your study time in Michaelmas, Hilary and most of Trinity Term should be spent on self-study, consolidating on the material covered in lectures, working through the assignments set for each class and working on practical assignments. Students are expected to write reports on practical assignments during part of the Christmas and Easter vacations, as well as revising the material covered the previous term.

Dissertation

The MSc offers a substantial opportunity for independent study and research in the form of a dissertation. The main period for dissertation work is June to September (though you may do some preparatory work for your dissertation earlier in the year) and during this time students should expect to work hours that are equivalent to full-time working hours, although extra hours may occasionally be needed.

The dissertation is undertaken under the guidance of a supervisor and will typically involve investigating and writing in a particular area of statistical science, without the requirement (while not excluding the possibility) of obtaining original results. A dissertation gives students the opportunity to develop broader transferable skills in the processes of organising, communicating, and presenting their work, and will equip students well for further research or for a wide variety of other careers.

Supervision

The allocation of graduate supervision for this course is the responsibility of the Department of Statistics and it is not always possible to accommodate the preferences of incoming graduate students to work with a particular member of staff. Under exceptional circumstances, a supervisor may be found outside the Department of Statistics.

You will be assessed on your performance in a number of written examinations in May/June, through practical coursework set during the year, and by the quality and depth of your dissertation (done mostly over the period June to early September).

Graduate destinations

Graduates of the MSc find employment in financial, economic, governmental, scientific and industrial areas. The MSc can also be a useful stepping stone for doctoral studies, with around a third of students on the course taking this route.

Changes to this course and your supervision

The University will seek to deliver this course in accordance with the description set out in this course page. However, there may be situations in which it is desirable or necessary for the University to make changes in course provision, either before or after registration. The safety of students, staff and visitors is paramount and major changes to delivery or services may have to be made in circumstances of a pandemic, epidemic or local health emergency. In addition, in certain circumstances, for example due to visa difficulties or because the health needs of students cannot be met, it may be necessary to make adjustments to course requirements for international study.

Where possible your academic supervisor will not change for the duration of your course. However, it may be necessary to assign a new academic supervisor during the course of study or before registration for reasons which might include illness, sabbatical leave, parental leave or change in employment.

For further information please see our page on changes to courses and the provisions of the student contract regarding changes to courses.

Entry requirements for entry in 2024-25

Proven and potential academic excellence.

The requirements described below are specific to this course and apply only in the year of entry that is shown. You can use our interactive tool to help you  evaluate whether your application is likely to be competitive .

Please be aware that any studentships that are linked to this course may have different or additional requirements and you should read any studentship information carefully before applying. 

Degree-level qualifications

As a minimum, applicants should hold or be predicted to achieve the following UK qualifications or their equivalent:

• a first-class or strong upper second-class undergraduate degree with honours in a degree course with advanced mathematical and statistical content.

However, entrance to the course is very competitive and most successful applicants have a first-class degree or the equivalent.

For applicants with a degree from the USA, the minimum GPA sought is 3.6 out of 4.0.

If your degree is not from the UK or another country specified above, visit our International Qualifications page for guidance on the qualifications and grades that would usually be considered to meet the University’s minimum entry requirements.

GRE General Test scores

No Graduate Record Examination (GRE) or GMAT scores are sought.

Other qualifications, evidence of excellence and relevant experience

Publications are not required.

English language proficiency

This course requires proficiency in English at the University's  higher level . If your first language is not English, you may need to provide evidence that you meet this requirement. The minimum scores required to meet the University's higher level are detailed in the table below.

*Previously known as the Cambridge Certificate of Advanced English or Cambridge English: Advanced (CAE) † Previously known as the Cambridge Certificate of Proficiency in English or Cambridge English: Proficiency (CPE)

Your test must have been taken no more than two years before the start date of your course. Our Application Guide provides  further information about the English language test requirement .

Declaring extenuating circumstances

If your ability to meet the entry requirements has been affected by the COVID-19 pandemic (eg you were awarded an unclassified/ungraded degree) or any other exceptional personal circumstance (eg other illness or bereavement), please refer to the guidance on extenuating circumstances in the Application Guide for information about how to declare this so that your application can be considered appropriately.

You will need to register three referees who can give an informed view of your academic ability and suitability for the course. The  How to apply  section of this page provides details of the types of reference that are required in support of your application for this course and how these will be assessed.

Supporting documents

You will be required to supply supporting documents with your application. The  How to apply  section of this page provides details of the supporting documents that are required as part of your application for this course and how these will be assessed.

Performance at interview

Interviews are not normally held as part of the admissions process.

When held, interviews may be in person or online, normally with two interviewers. Interviews are used only when the department needs to gather more information to fully assess an application before deciding whether to make an offer of a place.

How your application is assessed

Your application will be assessed purely on your proven and potential academic excellence and other entry requirements described under that heading.

References  and  supporting documents  submitted as part of your application, and your performance at interview (if interviews are held) will be considered as part of the assessment process. Whether or not you have secured funding will not be taken into consideration when your application is assessed.

An overview of the shortlisting and selection process is provided below. Our ' After you apply ' pages provide  more information about how applications are assessed . 

Shortlisting and selection

Students are considered for shortlisting and selected for admission without regard to age, disability, gender reassignment, marital or civil partnership status, pregnancy and maternity, race (including colour, nationality and ethnic or national origins), religion or belief (including lack of belief), sex, sexual orientation, as well as other relevant circumstances including parental or caring responsibilities or social background. However, please note the following:

• socio-economic information may be taken into account in the selection of applicants and award of scholarships for courses that are part of  the University’s pilot selection procedure  and for  scholarships aimed at under-represented groups ;
• country of ordinary residence may be taken into account in the awarding of certain scholarships; and
• protected characteristics may be taken into account during shortlisting for interview or the award of scholarships where the University has approved a positive action case under the Equality Act 2010.

Processing your data for shortlisting and selection

Information about  processing special category data for the purposes of positive action  and  using your data to assess your eligibility for funding , can be found in our Postgraduate Applicant Privacy Policy.

Admissions panels and assessors

All recommendations to admit a student involve the judgement of at least two members of the academic staff with relevant experience and expertise, and must also be approved by the Director of Graduate Studies or Admissions Committee (or equivalent within the department).

Admissions panels or committees will always include at least one member of academic staff who has undertaken appropriate training.

Other factors governing whether places can be offered

The following factors will also govern whether candidates can be offered places:

• the ability of the University to provide the appropriate supervision for your studies, as outlined under the 'Supervision' heading in the  About  section of this page;
• the ability of the University to provide appropriate support for your studies (eg through the provision of facilities, resources, teaching and/or research opportunities); and
• minimum and maximum limits to the numbers of students who may be admitted to the University's taught and research programmes.

Offer conditions for successful applications

If you receive an offer of a place at Oxford, your offer will outline any conditions that you need to satisfy and any actions you need to take, together with any associated deadlines. These may include academic conditions, such as achieving a specific final grade in your current degree course. These conditions will usually depend on your individual academic circumstances and may vary between applicants. Our ' After you apply ' pages provide more information about offers and conditions . 

In addition to any academic conditions which are set, you will also be required to meet the following requirements:

Financial Declaration

If you are offered a place, you will be required to complete a  Financial Declaration  in order to meet your financial condition of admission.

Disclosure of criminal convictions

In accordance with the University’s obligations towards students and staff, we will ask you to declare any  relevant, unspent criminal convictions  before you can take up a place at Oxford.

The department occupies a building in the centre of Oxford.

The principal computing resource for the MSc in Statistical Science is the IT teaching suite. You will be able to use this to run software packages such as R, MATLAB and Python, as well as to prepare documents and reports. The IT suite provides students with an excellent environment for training in computational statistics and statistical programming, as well as being a quiet place to work outside lectures. The building has other spaces for study and collaborative learning, including a library and a large interaction and social area.

You will also have access to a number of University libraries, and the centrally provided electronic resources.

The University's Department of Statistics is a world leader in research in probability, bioinformatics, mathematical genetics and statistical methodology, including computational statistics, machine learning and data science. 

You will be actively involved in a vibrant academic community by means of seminars, lectures, journal clubs, and social events. Research students are offered training in modern probability, stochastic processes, statistical methodology, computational methods and transferable skills, in addition to specialised topics relevant to specific application areas.

Much of the research in the Department of Statistics is either explicitly interdisciplinary or draws motivation from application areas, ranging from genetics, immunoinformatics, bioinformatics and cheminformatics, to finance and the social sciences.

The department is located on St Giles, in a building providing excellent teaching facilities and creating a highly visible centre for statistics in Oxford. Oxford’s Mathematical Sciences submission came first in the UK on all criteria in the 2021 Research Excellence Framework (REF).

View all courses   View taught courses View research courses

The University expects to be able to offer over 1,000 full or partial graduate scholarships across the collegiate University in 2024-25. You will be automatically considered for the majority of Oxford scholarships , if you fulfil the eligibility criteria and submit your graduate application by the relevant December or January deadline. Most scholarships are awarded on the basis of academic merit and/or potential. 

For further details about searching for funding as a graduate student visit our dedicated Funding pages, which contain information about how to apply for Oxford scholarships requiring an additional application, details of external funding, loan schemes and other funding sources.

Please ensure that you visit individual college websites for details of any college-specific funding opportunities using the links provided on our college pages or below:

Please note that not all the colleges listed above may accept students on this course. For details of those which do, please refer to the College preference section of this page.

Further information about funding opportunities for this course can be found on the department's website.

Annual fees for entry in 2024-25

Further details about fee status eligibility can be found on the fee status webpage.

Information about course fees

Course fees are payable each year, for the duration of your fee liability (your fee liability is the length of time for which you are required to pay course fees). For courses lasting longer than one year, please be aware that fees will usually increase annually. For details, please see our guidance on changes to fees and charges .

Course fees cover your teaching as well as other academic services and facilities provided to support your studies. Unless specified in the additional information section below, course fees do not cover your accommodation, residential costs or other living costs. They also don’t cover any additional costs and charges that are outlined in the additional information below.

Where can I find further information about fees?

The Fees and Funding  section of this website provides further information about course fees , including information about fee status and eligibility  and your length of fee liability .

Additional information

There are no compulsory elements of this course that entail additional costs beyond fees and living costs. However, as part of your course requirements, you may need to choose a dissertation, a project or a thesis topic. Please note that, depending on your choice of topic and the research required to complete it, you may incur additional expenses, such as travel expenses, research expenses, and field trips. You will need to meet these additional costs, although you may be able to apply for small grants from your department and/or college to help you cover some of these expenses.

Living costs

In addition to your course fees, you will need to ensure that you have adequate funds to support your living costs for the duration of your course.

For the 2024-25 academic year, the range of likely living costs for full-time study is between c. £1,345 and £1,955 for each month spent in Oxford. Full information, including a breakdown of likely living costs in Oxford for items such as food, accommodation and study costs, is available on our living costs page. The current economic climate and high national rate of inflation make it very hard to estimate potential changes to the cost of living over the next few years. When planning your finances for any future years of study in Oxford beyond 2024-25, it is suggested that you allow for potential increases in living expenses of around 5% each year – although this rate may vary depending on the national economic situation. UK inflationary increases will be kept under review and this page updated.

Students enrolled on this course will belong to both a department/faculty and a college. Please note that ‘college’ and ‘colleges’ refers to all 43 of the University’s colleges, including those designated as societies and permanent private halls (PPHs). 

If you apply for a place on this course you will have the option to express a preference for one of the colleges listed below, or you can ask us to find a college for you. Before deciding, we suggest that you read our brief  introduction to the college system at Oxford  and our  advice about expressing a college preference . For some courses, the department may have provided some additional advice below to help you decide.

The following colleges accept students on the MSc in Statistical Science:

• Brasenose College
• Christ Church
• Corpus Christi College
• Exeter College
• Green Templeton College
• Jesus College
• Keble College
• Kellogg College
• Lady Margaret Hall
• Linacre College
• Lincoln College
• Magdalen College
• Mansfield College
• New College
• Oriel College
• Reuben College
• St Anne's College
• St Catherine's College
• St Cross College
• St Edmund Hall
• St Hugh's College
• St Peter's College
• Somerville College
• University College
• Wadham College
• Wolfson College
• Worcester College
• Wycliffe Hall

Before you apply

Our  guide to getting started  provides general advice on how to prepare for and start your application. You can use our interactive tool to help you  evaluate whether your application is likely to be competitive .

If it's important for you to have your application considered under a particular deadline – eg under a December or January deadline in order to be considered for Oxford scholarships – we recommend that you aim to complete and submit your application at least two weeks in advance . Check the deadlines on this page and the  information about deadlines and when to apply  in our Application Guide.

Application fee waivers

An application fee of £75 is payable per course application. Application fee waivers are available for the following applicants who meet the eligibility criteria:

• applicants from low-income countries;
• refugees and displaced persons; 
• UK applicants from low-income backgrounds; and 
• applicants who applied for our Graduate Access Programmes in the past two years and met the eligibility criteria.

You are encouraged to  check whether you're eligible for an application fee waiver  before you apply.

Do I need to contact anyone before I apply?

You do not need to make contact with the department before you apply but you are encouraged to visit the relevant departmental webpages to read any further information about your chosen course.

If you have any questions about the course, you should contact the course administrator in the first instance, using the contact details provided on this page. 

Completing your application

You should refer to the information below when completing the application form, paying attention to the specific requirements for the supporting documents .

For this course, the application form will include questions that collect information that would usually be included in a CV/résumé. You should not upload a separate document. If a separate CV/résumé is uploaded, it will be removed from your application .

If any document does not meet the specification, including the stipulated word count, your application may be considered incomplete and not assessed by the academic department. Expand each section to show further details.

Referees: Three overall, at least two of which must be academic

Whilst you must register three referees, the department may start the assessment of your application if two of the three references are submitted by the course deadline and your application is otherwise complete. Please note that you may still be required to ensure your third referee supplies a reference for consideration.

At least two academic references are  required. A professional reference is acceptable as a third reference in the exceptional case that the referee is able to offer comparable information on your background and suitability for the course to an academic referee.

Your references will support your intellectual ability, academic achievement, academic potential, and motivation, particularly with regard to the mathematical sciences. 

Official transcript(s)

Your transcripts should give detailed information of the individual grades received in your university-level qualifications to date. You should only upload official documents issued by your institution and any transcript not in English should be accompanied by a certified translation.

More information about the transcript requirement is available in the Application Guide.

Personal statement: A maximum of 1,000 words

Your statement should be written in English and explain your motivation for applying for the course at Oxford, and your relevant experience and education. You should explain why you are interested in studying for the course. The statement should summarise your background as it relates to applying for the MSc and the advanced mathematical and statistical content you have covered (or are in the process of covering, if you are currently completing a degree).

If possible, please ensure that the word count is clearly displayed on the document.

This will be assessed for your reasons and motivation for applying, evidence of motivation for and understanding of the broad area covered by the MSc, capacity for sustained and intense work, reasoning ability, the ability to absorb ideas at a rapid pace.

Start or continue your application

You can start or return to an application using the relevant link below. As you complete the form, please  refer to the requirements above  and  consult our Application Guide for advice . You'll find the answers to most common queries in our FAQs.

Application Guide   Apply

ADMISSION STATUS

Closed to applications for entry in 2024-25

Register to be notified via email when the next application cycle opens (for entry in 2025-26)

12:00 midday UK time on:

Friday 10 November 2023 Applications more likely to receive earlier decisions

Friday 19 January 2024 Latest deadline for most Oxford scholarships

Statistics MSc

London, Bloomsbury

Statistical science skills are powerful tools that play a valuable role in all pure and applied sciences as well as in finance, commerce and medicine. The quantitative skills training provided by this MSc can lead to new and exciting opportunities in industry, healthcare, government, commerce or research.

UK tuition fees (2024/25)

Overseas tuition fees (2024/25), programme starts, applications accepted.

Applications closed

Applications open

• Entry requirements

A minimum of an upper second-class Bachelor's degree in a quantitative discipline from a UK university or an overseas qualification of an equivalent standard. Knowledge of mathematical methods and linear algebra at university level and familiarity with introductory probability and statistics is required. Relevant professional experience will also be taken into consideration.

The English language level for this programme is: Level 1

UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level.

Further information can be found on our English language requirements page.

Equivalent qualifications

Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from the International Students website .

International applicants can find out the equivalent qualification for their country by selecting from the list below. Please note that the equivalency will correspond to the broad UK degree classification stated on this page (e.g. upper second-class). Where a specific overall percentage is required in the UK qualification, the international equivalency will be higher than that stated below. Please contact Graduate Admissions should you require further advice.

About this degree

The programme takes a broad-based approach to statistics, providing up-to-date training in the major applications and an excellent balance between theory and application. It covers modern ideas in statistics including applied Bayesian methods, generalised linear modelling and object-oriented statistical computing, together with a grounding in traditional statistical theory and methods.

The programme is also flexible. By selecting an appropriate combination of optional modules and a suitable project, students can choose to specialise in the following areas: biostatistics, applied stochastic modelling, quantitative decision making, quantitative analysis for industry, financial mathematics. The first of these has been formalised as a separate award.

Who this course is for

The programme is accessible to students with undergraduate degrees in a related quantitative discipline (such as mathematics, statistics, economics, actuarial science), who wish to gain advanced training in statistical theory and applications to enable them to enter specialist employment or academic research.

What this course will give you

One of the strengths of UCL Statistical Science is the breadth of expertise on offer; the research interests of staff span the full range from foundations to applications, and make important original contributions to the development of statistical science.

London provides an excellent environment in which to study statistical science, being the home of the Royal Statistical Society as well as a base for a large community of statisticians, both academic and non-academic.

UCL's newly founded Institute for Mathematical and Statistical Sciences aims to be London's leading centre for research, teaching and collaboration in mathematics and statistics, establishing UCL as a global leader and outward-looking centre for the mathematical sciences and its applications.

The foundation of your career

The Statistics MSc provides skills that are currently highly sought after. Graduates receive advanced training in methods and computational tools for data analysis that companies and research organisations value. For instance, the new directives and laws for risk assessments in the banking and insurance industries, as well as the healthcare sector, require statistical experts trained at graduate level. The large amount of data processing in various industries (known as "data deluge") also necessitates cutting-edge knowledge in statistics. As a result, our recent graduates have been offered positions as research analysts or consultants, and job opportunities in these areas are increasing.

Employability

Graduates typically enter professional employment across a broad range of industry sectors or pursue further academic study.

Areas of employment include Accountancy and Financial Services, Banking and Investment, and Consultancy with graduates securing positions with a range of employers including Vanguard and WillisTowersWatson.

The Department offers world-class expertise along with strong links to practitioners, and its position within UCL provides breadth of knowledge (for example the UCL institute for Mathematical and Statistical Sciences, the UCL Centre for Computational Statistics and Machine Learning and the Alan Turing Institute). Staff members also collaborate directly with hospitals, power companies, government regulators, and the financial sector. Consequently, postgraduate students have opportunities to engage with external institutions.

There is a possibility of external organisations delivering technical lectures and seminars while the MSc research project list usually includes collaborative projects available with pharmaceutical companies and other industrial partners.

Accreditation

This MSc programme was accredited by the Royal Statistical Society up until 2023/24. The department is in the process of applying to the Royal Statistical Society to renew accreditation.

Teaching and learning

The primary method of communicating information and stimulating interest is through lectures, which provide you with a formal knowledge base from which your understanding can be developed. Understanding of lecture material is reinforced by problem classes, computer workshops and group tutorials, as well as by self-study. Peer-assisted learning, discussion with other students and individual discussion with staff also support the learning process.

Whereas lectures provide the primary vehicle for accumulating a knowledge base, your intellectual, academic and research skills will mainly be developed outside of the lecture theatre, for example, by tackling and discussing problems set on a regular (usually weekly) basis. Some coursework requires you to develop your thinking beyond rote learning, and to link ideas between different modules. You will be encouraged to reason openly through discussion of set problems in tutorials. For some modules, workshops allow you to work on problems individually or in groups, with teaching staff / assistants present to give help. Teaching staff also hold regular "office hours" during which you are welcome to come and ask questions about the material and obtain individual (one-to-one) assistance and feedback.

Practical and transferable skills are developed by the provision of opportunities for hands-on experience through regular workshops and projects. Much of the tuition for statistical computing takes place in computer workshops, which will allow you to learn through active participation. Additional workshops running during the teaching terms provide preparation for the summer research project and cover the communication of statistics, for example, the presentation of statistical graphs and tables. Project supervisors will provide guidance on how to manage an extended task effectively and you are encouraged to monitor your own working practice using a self-assessment questionnaire, as well as to monitor your own progress by self-marking of non-assessed coursework.

All summative assessment is organised at modular level during the academic year in which the module is taken. Most Statistical Science modules employ a combination of end-of-year written examination and coursework to assess your subject-specific knowledge and academic skills, although some modules are entirely coursework based. Statistical project work further assesses your intellectual, academic and research skills by means of word-processed written reports and, in the case of the summer research project, an oral presentation.

Coursework is designed to encourage you to develop your knowledge and skills as each module proceeds. Although not all coursework contributes towards formal assessment, it will provide you with the opportunity to demonstrate your intellectual and practical skills in written responses to problem sheets and in oral responses during tutorials, with feedback mainly presented through tutorials / problem classes / workshops, and on an individual basis on request.

On average it is expected that a student spends 150 hours studying for each 15-credit module. This includes teaching time, private study and coursework. Modules are usually taught in weekly two-hour sessions over 10 weeks each term.

The core material is delivered through a foundation module (to revise basic concepts in probability and statistics) and further compulsory modules. Programming techniques are introduced within the core modules in order to allow students to code their own statistical methods. Students may then place particular emphasis on their application areas of interest by suitable choice of optional modules.

The research project is a consolidation of the MSc’s taught component. Students will normally analyse and interpret data from a real, complex problem, offering the chance to produce viable solutions. Project topics can be selected from a departmental list, or students can make their own suggestions. The list usually includes some collaborative projects available with industrial partners.

The programme is also offered on a part-time basis over two years. The taught modules are split between the first and second years, but within each year the classes for a particular module are the same ones attended by full-time students (i.e. special teaching times are not offered for the part-time programme).

The foundation module is taken at the beginning of the first year. It is recommended that students also take the module Statistical Models and Data Analysis (STAT0028) in the first year, and module prerequisites need to be fulfilled, but otherwise there is some flexibility in the order that the remaining taught modules can be studied. Part-time students submit their project at the end of the second year. It is possible to arrange with the project supervisor to start to work on the project earlier than full-time students, but part time students are not entitled to a higher amount of supervision overall.

Compulsory modules

Optional modules.

Please note that the list of modules given here is indicative. This information is published a long time in advance of enrolment and module content and availability are subject to change. Modules that are in use for the current academic year are linked for further information. Where no link is present, further information is not yet available.

Students undertake modules to the value of 180 credits. Upon successful completion of 180 credits, you will be awarded an MSc in Statistics.

Accessibility

Details of the accessibility of UCL buildings can be obtained from AccessAble accessable.co.uk . Further information can also be obtained from the UCL Student Support and Wellbeing team .

Fees and funding

Fees for this course.

The tuition fees shown are for the year indicated above. Fees for subsequent years may increase or otherwise vary. Where the programme is offered on a flexible/modular basis, fees are charged pro-rata to the appropriate full-time Master's fee taken in an academic session. Further information on fee status, fee increases and the fee schedule can be viewed on the UCL Students website: ucl.ac.uk/students/fees .

Additional costs

T here are no programme-specific costs.

For more information on additional costs for prospective students please go to our estimated cost of essential expenditure at Accommodation and living costs .

Funding your studies

For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website .

Brown Family Bursary

NOW CLOSED FOR 2024/25 ENTRY Value: £15,000 (1 year) Criteria Based on both academic merit and financial need Eligibility: UK

Students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines.

There is an application processing fee for this programme of £90 for online applications and £115 for paper applications. Further information can be found at Application fees .

When we assess your application we would like to learn:

• why you want to study Statistics at graduate level
• why you want to study Statistics at UCL
• what particularly attracts you to this programme
• how your academic background meets the demands of this programme
• where you would like to go professionally with your degree

Together with essential academic requirements, the personal statement is your opportunity to illustrate whether your reasons for applying to this programme match what the programme will deliver.

Please note that the admissions process is expected to be highly competitive - in the previous cycle we received over 15 applications per available place. Reaching the standard entry requirements therefore provides no guarantee that any offer will be made.

Please note that you may submit applications for a maximum of two graduate programmes (or one application for the Law LLM) in any application cycle.

Choose your programme

Please read the Application Guidance before proceeding with your application.

Year of entry: 2024-2025

Got questions get in touch.

Statistical Science

[email protected]

UCL is regulated by the Office for Students .

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• Essay on Education

MSC In Statistics Personal Statement Example

Type of paper: Personal Statement

Topic: Education , Performance , University , Information , Mathematics , Statistics , Students , Finance

Published: 02/10/2020

ORDER PAPER LIKE THIS

Statistics is the study of the organization and presentation of data. Through systemization and rigorous application of scientific method, data can be presented in such a way as to reveal many esoteric facts that would have otherwise gone unnoticed without the utilization of various statistical methodologies. Statistics is a branch of mathematics that is universally applicable. It is used in fields as diverse as political science and biology. Using statistical methods, we are able to predict outcomes of various events including things such as: the progression of human disease, the performance of financial markets, or a local election. My academic background is primarily based around the sciences. My GCSE subjects that I performed best in were: Mathematics (A*), Further Mathematics (A), and Physics (A). After I left school, I enrolled in the University of Bath for the BSc in Statistics. As part of the coursework at University of Bath, we were required to study analytics, algebra statistics, probability, and accounting. I believe my academic background has made me a viable candidate for a Masters program in statistics. My advanced studies in mathematics and my coursework in statistics, probability, and accounting have provided me with a solid foundation from which I can build and expand my knowledge of the field. I have also worked in a variety of positions and partaken in extra curricular activities that have shown me the importance of statistics in daily life. During my summer internship with AIA, I learned the fundamentals of financial planning and did a two-day licensing course on IIQE Paper I and III. While working as a summer sales executive in SKYphoto, I had to input sales information into databases, and also sell plans to the customers. Both jobs had a high reliance on statistical methods, particularly using computer modeling to extract useful data that the corporate bodies could use. I have held several volunteer positions and was rewarded for my dedication to helping the community with the HKFYG and ISSHK. Furthermore, I am an avid basketball player and was a member of the starting line-up at school. In retrospect basketball also provided me with a basis for my interest in statistics insofar as while preparing for games, my teammates and I would pour over the statistics of the other teams performance. In order to accomplish this, we understood that we had to look at the data of not just the team, but also the individual players. While our application of statistical methods in this regard was by no means rigorous, I believe it set me up for a later appreciation of the power that statistics has. Studying for my MSc in Statistics will enable me to employ statistical methods to a wide range of applications. I am particularly interested in computational finance and the use of computer platforms to solve practical problems in the world of finance. Using the knowledge that I gain from my coursework, I will be able to develop applications to support a wide range of positions within a financial institution. The fields that would utilize my work include the corporate governance arm of an institution as well as the trading arms of the company. I believe myself to be an excellent fit for your program. The combination of academic rigor and diversity of the faculty and student body make this program unparalleled in the field. Finally, I will bring a history of successful problem solving as well as my talent for foreign languages that I think will be a great complement to university life. In sum, statistics has become my passion and this program will allow my passion to expand and grow to something that will be of utmost practical utility.

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Statistics is a research-oriented discipline that includes a vast area of research. My country CCC needs special attention, particularly in this field. Considering this fact, I wanted to study Statistics first. I have completed my Bachelor (2009) and Masters (2010) in Applied Statistics from University of ____, CCC . I am highly interested in an MS program in Statistics at The University of ..., CANADA. Another Masters degree will widen my scope; provide strong basis and relevance to pursue my career in Statistics.

During my bachelor's, I submitted a project entitled as, "Applying Vector Autoregressive Model......." in February 2013. The project paper contains a multivariate autoregressive analysis on temperature forecasting of the (district name) district of CCC while considering the other meteorological factors. Related data are taken yearly basis from 1984 to 2012, collected from 'Database and Statistics' published on official website of CCCC Agricultural Research Council, Ministry of Agriculture, CCCC.

I also submitted a thesis report entitled as, "Analysis of Child Mortality Data....." for the partial fulfillment of my master's degree in September 2011. The thesis considered an extension of the Cox's proportional hazards model that allows for heterogeneity due to omitted covariates using frailty (random effect) approach. The covariates involve some key determinants of children's time-to-death event. The data was taken from CCCC Demographic and Health Survey (BDHS), 2010. That's how I got involved with the research work in the field of BioStatistics.

Then I joined International Center for Diarrheal Disease Research, CCCC at Emerging Vaccines under the Center for Vaccine Sciences (CVS). I was directly involved in Data Management at that international organization in various public health projects. During that job, I came to know that how village level public health data are collected and managed for future research.

My previous research compels me to continue research in either in theoretical or applied statistics.

I am highly skilled on R, SPSS. I am competent of WinBUGS, SAS, STATA, FORTRAN and MATLAB. While accomplishing my research, I had to work on R, SPSS, and WinBUGS which synchronized subjective knowledge with practical work and expanded my programming knowledge. In professional life, I had to work with Epi Info, FoxPro, Microsoft Access for data management. Apart from this, I am also an efficient user of LaTeX and Microsoft Office Suite.

Considering all the facts, what I have learned and the experience gathered, always stimulate me to dedicate myself in the field of Statistical research. Among the significant areas of Statistics, I would prefer to put more emphasis on BioStatistics, Epidemiology, Public Health Sciences, The design of Experiments, Longitudinal data Analysis, Clinical Trials, Bayesian Statistics, etc. No matter what my research concentration will be, if I would bear a fruitful conclusion and add value to my future career perspective, I will be glad to take the challenge accomplish the research. When I was browsing the internet, I found a faculty member at the Department of Mathematics and Statistics, named, Dr. (Prof Name), who works on the BioStatistics collaborative program. I saw that we both have almost same research interests. So I made contact with him. He inspired me to apply for a graduate program, and if I am selected, he will be my research supervisor and possibly be discussing more on his current research.

After completion of this master's degree, my next target will be to have a Ph.D. degree in this field. Then I will return to my home country and would like to dedicate myself to the research of Statistics and apply statistical methods to real-life data to address more important issues. I would love to join the research organizations in my country, who actively work on statistical sectors. They really need manpower with strong academic and research backgrounds. I would also like to teach Statistics at the University level. There are some well-reputed government and private universities in my country, which needs faculty members for the subject 'Statistics', to teach the students and also to conduct some research on various sectors. So if I can strongly prepare myself to contribute for the people of my country, it will be like a dream come true. In the long run, both the Teaching and Research profession of me will contribute to my country.

The graduate program in Statistics at The University of ... is extremely relevant to my above future career plans. I know the university will provide a strong dynamic environment within which to improve my knowledge and skills and develop my career. I believe that the training I will receive pursuing a graduate study at (university name) and research experience will give me the expertise to function as an independent academic investigator so that I have the opportunity to pursue some of the areas of research in which I am interested.

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• Mathematics personal statements

Mathematics with statistics degree personal statement example (1a)

Mathematics and Statistics have interested me all my life and the latter in particular is a large part of my life and my way of thinking. I think mathematics is a most interesting subject. It is amazing that a series of simple numeric characters represent most of the problems in the world. I fell in love with mathematics when I was a young pupil, I selected the right formula and did some simple computational processes and I arrived at the correct answer. I have chosen to study mathematics and statistics at university because I am really addicted to it. I can use mathematics to solve a variety of difficult problems by dividing the problem into smaller parts, then solving each part one by one using logical processes, to achieve the final solution. I think this mode of mathematical thinking is very useful in real life as well, because it can be used to simplify challenging problems.

Statistics as a subject is needed in order to analyse, organise and research data. We can use statistics to work out and analyse if a proposal is going to be successful or not. Statistics is another reason why I am so interested in mathematics. If pure math is abstract, statistics is much closer to our life. We use data to enable an analysis of different views which is likely to lead to an informed decision. Thus important decisions can be made from statistical research. For example a doctor may consider using a new drug instead of an older one, having set up null and alternative hypotheses and testing a sample statistic doctors can make an informed choice based on statistical analysis. If I use statistics, to arrive at a decision it is achieved in a more logical way. I like to explore football statistics and analyse the different player’s performance. For example, what percentage of shots on target does Rooney manage each match?

When I have free time, I like to research the formulae in my school syllabus and explore the historical roots of how someone came up with these. For example, the ‘Stirling formula’, in which Stirling discovered how to work out the natural logarithm of a huge factorial number.

During my work experience for a charity organisation last summer, I had to develop my communication skills when collecting money from people on the street. In addition I was asked to visit the elderly and housebound in their homes, particularly in a situation, when there were few members of their own family. I am able to maintain a good work-life balance by regularly playing sport; football and badminton. The social and physical challenges have helped me to improve my communication skills.

I also enjoy the team aspects of sport, while keeping fit. I am a keen member of a table tennis club and played in the Suffolk tournaments. This experience enables me to meet many professional players, which gives me a breadth of insight into life outside school. Life at school offers me many opportunities which I am able to take up, such as being a member of the Maths Challenge competition. This requires fast mental skills for working out the different questions. It trains my brain and I can put into practice some aspects of A Level Statistics. In addition, I was chosen to be a boarding prefect this year. I am required to share the pastoral responsibility for the male boarders, alongside staff members. This involves me in meeting numerous boarders, who regularly share concerns and joyful events in their lives. Through this experience I have grown more tolerant of people and different cultures.

I hope to use the statistical knowledge for my future as a statistics researcher, where I may work in a survey company which collects data and interprets it. By analysing the mixed data I would enable the company to improve its profit. My aim would be to make the data more organised and reach a satisfactory conclusion. I am really looking forward to university life and to contributing and participating in many aspects of life there, in addition to developing my knowledge and engaging in lively discussions.

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Data Science Personal Statement Samples with Examples

A data science personal statement is crucial for pursuing a career in the field as it allows individuals to showcase their qualifications, experiences, and aspirations.

It serves as a platform to express their passions and highlight their academic backgrounds, technical skills, and practical experiences. The statement enables individuals to articulate career goals, research interests, and potential contributions. 

In that sense, a personal statement examples are valuable as it offers guidance and examples of successful statements, providing insights into key elements, structure, and content. Samples also inspire and motivate by showcasing possibilities and achievements in the data science field. They help individuals understand how to express their passion, highlight relevant skills, and align career goals. 

If you are a data science enthusiast, consider enrolling in an Advanced Certificate Programme in Data Science to boost your resume.

What is a Data Science Personal Statement?

Data science personal statements are written statements or essays by individuals aiming to pursue courses like a Master of Science in Data Science from LJMU or aspiring to pursue a career in data science. These statements allow applicants to showcase their passion, skills, and experiences related to data science. Personal statements must be submitted as a part of the application process. 

They typically highlight the individual’s motivation for choosing data science, their relevant academic background, technical skills, and any practical experience they have gained. Personal statements also allow applicants to express their career goals, research interests, and how they envision contributing to the field of data science. 

As a student or professional in this field, referring to a data science personal statement sample is crucial in conveying your suitability and enthusiasm to the admissions committee or potential employers.

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Key Elements of a Strong Data Science Personal Statement

The essential components of a compelling personal statement for data science comprise:

• Genuine Passion and Drive: Demonstrating a deep-rooted enthusiasm for data science and a solid motivation to pursue a career in this field.
• Academic Background: Showcasing academic accomplishments relevant to data science, such as degrees, coursework, or research projects in quantitative disciplines.
• Technical Proficiency: Exhibiting expertise in programming languages (like Python or R), statistical analysis, machine learning techniques, data manipulation, and visualisation tools.
• Practical Exposure: Highlighting practical experiences, such as internships, projects, or industry engagements that have honed data science skills.
• Areas of Interest in Research: Creatively ideating your areas of interest in data science, like computer vision, predictive modelling, and natural language processing and discussing research contributions or projects in these domains.
• Analytical Problem-Solving: Demonstrating skills in problem-solving, critical thinking, and applying appropriate data science methods to real-world challenges.
• Efficient Collaboration and Communication: Emphasising efficient communication skills, teamwork capabilities, and the ability to convey complex concepts to non-technical audiences.
• Future Aspirations: Outlining long-term career goals in data science and how one envisions utilising this field to impact the industry or domain of their choice.

Example 1: Personal Statement for an Entry-Level Data Science Position

I am eager to apply for this role as I have a degree in Computer Science and a course concentration on statistics and machine learning. Along with a strong base in data analytics, I have commendable analytical skills and an aptitude for problem-solving. I have also taken an active part in multiple relevant projects in which I was required to work with algorithms to derive insights from numerous datasets. 

Additionally, my internship experience exposed me to real-world challenges, refining my expertise in data cleansing and preprocessing for effective modelling. I am excited about the opportunity to contribute to a dynamic team, leveraging my technical skills and enthusiasm to drive data-informed decision-making and deliver impactful solutions. I believe I am a potential candidate for an entry-level data science role. 

Example 2: Personal Statement for a Data Analyst Role

As an ambitious individual aiming for a data analyst role, I am enthusiastic about applying my analytical abilities and dedication to data-driven insights within a vibrant organisation. Equipped with a degree in statistics and hands-on involvement in data manipulation and visualisation, I have established a strong foundation in data analysis. 

Throughout my academic endeavours, I have refined my aptitude for extracting valuable insights and effectively communicating them to key stakeholders. Moreover, my internship at a well-known company allowed me to apply statistical methodologies to extensive datasets, further augmenting my analytical proficiencies. 

I eagerly look forward to applying my technical acumen and problem-solving prowess to unearth meaningful insights, facilitate data-led decision-making, and contribute to the organisation’s triumphs.

Example 3: Personal Statement for a Data Scientist Position

I am enthusiastic about data science and am beyond elated by its potential to take my area of interest to greater heights. I have cultivated a profound understanding of statistical modelling, machine learning algorithms, and the art of data visualisation required to fulfil my role as a data scientist. I have upskilled myself with strong analytical and problem-solving skills, a Master’s in Data Science and hands-on experience in research projects. 

Throughout my academic trajectory, I actively participated in endeavours that harnessed advanced analytics to extract profound insights from expansive datasets. Furthermore, my professional background has honed my collaborative acumen, bolstered my contributions to data-driven initiatives, and engendered actionable recommendations. 

I eagerly anticipate harnessing my expertise in data analysis, programming prowess, and problem-solving aptitude to propel innovation, facilitate data-driven decision-making, and profoundly contribute to the organisation’s achievements as a data scientist.

Example 4: Personal Statement for a Data Engineer Role

As a dedicated advocate of harnessing the transformative potential of data, I am thrilled to pursue a data engineer role where I can utilise my technical aptitude and drive impactful solutions. 

I have a Bachelor’s degree in Computer Science and professional experience in database management, ETL processes, and data pipeline development. I have established a strong foundation in data engineering principles. Proficient in SQL, Python, and cloud platforms, I can efficiently transform raw data into valuable insights. Throughout my academic journey, I actively participated in projects that involved designing and implementing robust data architectures, optimising query performance, and ensuring data integrity. 

I am eager to contribute my expertise and collaborate with cross-functional teams to construct scalable and reliable data infrastructure that empowers data-driven decision-making.

Example 5: Personal Statement for a Machine Learning Engineer Position

As a passionate advocate of leveraging machine learning to drive innovation, I am excited to pursue a position as a machine learning engineer where I can apply my technical expertise and problem-solving skills to develop cutting-edge solutions. 

I have gained a solid understanding of the field with a strong academic background in computer science and a focus on machine learning algorithms and model development. I have honed my data preprocessing, feature engineering, and model evaluation skills through my project work and internships.

I am eager to collaborate with interdisciplinary teams, apply my knowledge in practical settings, and contribute to creating intelligent systems that positively impact industries and society.

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Tips for Writing an Effective Data Science Personal Statement

Here are some tried and tested tips for writing an impactful data science personal statement:

• Clearly express your deep enthusiasm for the field of data science: Begin your statement by articulating your genuine passion and excitement for data science. Elucidate what captivates you about data analysis, machine learning, or any particular aspect of data science that ignites your motivation.
• Emphasise your pertinent academic background: Highlight your educational qualifications, such as degrees, coursework, or certifications, that directly relate to data science. Discuss specific subjects you have studied, projects you have engaged in, and any research experience you have gained.
• Showcase your technical proficiencies: Outline the technical skills you have acquired, including programming languages (Python, R, SQL), statistical analysis, machine learning algorithms, data visualisation, or frameworks for big data processing. Offer concrete and quantifiable examples of how you have applied these skills in practical projects or academic assignments.
• Share your practical experiences: Discuss any internships, industry projects, or research opportunities where you have gained hands-on experience with real-world data and problem-solving. Highlight notable achievements, challenges you have confronted, and strategies to overcome them.
• Demonstrate your problem-solving capabilities: Elaborate on your approach to resolving intricate problems through data-driven methodologies. Expound upon how you analyse data, formulate hypotheses, design experiments, and assess results to extract meaningful insights and make well-informed decisions.
• Establish a connection between your goals and the field: Articulate your career aspirations clearly and explain how embarking on a data science career aligns with those ambitions. Discuss specific areas or industries that interest you, and elucidate how your skills and expertise can contribute to tackling challenges in those domains.
• Highlight your communication and teamwork skills: Acknowledge that data science entails effective communication and collaboration. Showcase instances where you have adeptly conveyed complex concepts to non-technical stakeholders or collaborated within multidisciplinary teams to achieve project objectives.
• Tailor your statement to the specific role or programme: Customise your statement to match the requirements and expectations of the data science position or programme for which you are applying. Conduct thorough research on the organisation or university to grasp their focal points, projects, or faculty expertise, and integrate pertinent details to demonstrate your suitability and alignment.
• Strive for concise and well-structured content: Maintain focus and conciseness throughout your statement, ensuring each sentence contributes value and reinforces your overall message. Employ a logical structure, commencing with an engaging introduction, developing well-articulated body paragraphs, and culminating in a firm conclusion.
• Carefully review and edit: Before submission, meticulously review your personal statement for grammatical, spelling, and punctuation errors. Verify consistency in tone, smoothness of flow, and compelling content. Seek feedback from reliable sources, such as mentors or professors, to obtain valuable insights and recommendations for refinement.

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Data science personal statement samples provide invaluable guidance and inspiration for aspiring data scientists. They catalyse self-reflection and help applicants align their own experiences and aspirations with the dynamic field of data science. By studying successful personal statements, you can gain insights into the key elements, structure, and content required to create a compelling personal statement. 

Armed with a professional certification like an Executive PG Programme in Data Science from IIIT Bangalore , you can craft personal statements that effectively convey your unique qualities, setting you apart and increasing your chances of securing admission or job opportunities in the competitive field of data science.

Pavan Vadapalli

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Frequently Asked Questions (FAQs)

The statement of purpose for data science should encompass the reasons for selecting data science as a specialisation, aspirations for a career in the field, and a strategic plan outlining how the acquired data science education will be utilised to attain those goals.

It is advisable to share pertinent details of employment, internships, work experience, or voluntary engagements, particularly those relevant to the chosen course of study. Establishing a connection between the experiences and the skills or qualities that contribute to a candidate's potential for success is crucial.

The introduction of a personal statement should commence with an explanation of the rationale behind choosing the field of study, summarised in one or two sentences. Be original and avoid clichéd opening sentences, quotes, or overused expressions to maintain a fresh and engaging introduction.

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MSc Statistics Personal Statement Length?

I applied to the MSc program in Statistics, but I realized they don't have length guidelines for their personal statement posted anywhere. I've completed my application already but am now a bit unsure of whether it actually followed their rules.

Does anyone know what the guidelines for these statements are? Or are we allowed to write as much as we please? Thanks!

• Data Science

Data Science Personal Statement in 2024 [Sample & Examples]

Home Blog Data Science Data Science Personal Statement in 2024 [Sample & Examples]

Data science is one of the most popular career options for students, especially those pursuing a Bachelor's degree. It is also one of the most sought-after courses in universities today. If you just want some ideas on how to write a data science personal statement, then this article is for you. Also, if you’re someone who is willing to secure a career in the field of data science, then it is recommended that you pursue Data Science Courses that will enable you to learn all aspects and principles of data science. 

What is a Data Science Personal Statement?

In a nutshell, the personal statement for data science is a document that you write to explain why you are interested in pursuing the subject and what you can bring to the table. It should be written in a way that shows your interest in the subject and why you want to study it. You may want to include information about the following in your data science personal statement.  

• What led up to your decision to pursue this field? 
• Why do data scientists matter? What problems need solving by them? What value do they provide society as well as individuals? 
• How will studying this specific field help prepare you for future careers or additional educational opportunities (e-learning programs, etc.)?

You can also include the following:  

• What are your goals for this degree?  
• How will it benefit you?  
• What do you hope to achieve from studying data science?  
• Why is this field important in today’s society?  
• What are the challenges that you see in this field?  
• How will you address those challenges?  
• What do you think the future of data science is?  
• How do you plan on staying relevant as technologies and trends change?

The Importance of Creating a Data Science Personal Statement

Data science personal statement is a formal document that will be used by the company to evaluate your skills. If you are applying for a Data Science job and want to impress the hiring manager, then you must write a strong data science personal statement.

A good personal statement for a master's in data science must be unique, creative, informative and interesting to read. It should describe not only your skills and experience but also showcase your ability to think critically and creatively.

A well-written data science personal statement will help you stand out from other applicants and make yourself an ideal candidate for the job that you want. Here are some useful tips for writing a strong data science personal statement: 

• Be honest and straightforward in your personal statement. 
• Don’t exaggerate or lie about your skills, experience and achievements. If you don’t have any relevant work experience, then focus on other areas where you can showcase your skills, such as volunteering or community projects. 
• Know the company that you are applying to and tailor your personal statement accordingly. A generic resume won’t help if you are applying for a specific job position. Instead, write a customized letter that shows how well-suited you are for this role. 
• Keep it short and sweet. The best personal statements are between a few hundred to a few thousand words long. Don’t try to cram everything in one big paragraph; break it up into smaller sections that will make it easier for readers to digest. 

So now you might have understood how important data analytics personal statements are. To learn how to create a personal statement, it is recommended that you enroll in the Best Data Science Bootcamps . 

Data Science Personal Statement Sample

I am writing this Data Science Personal Statement for the MS in Data Science program at UC Berkeley. My goal is to explain why I want to pursue a career in data science and how my experience as an undergraduate student has prepared me for graduate school. As you can see from my resume, I have had many opportunities to work with large amounts of data through internships and research projects over the course of my academic career. These experiences have given me valuable insight into how large-scale computational problems can be tackled by applying statistical methods under tight deadlines while still maintaining quality control over your results. 

In addition, I have taken classes such as AI/ML Systems Design & Implementation and Machine Learning Algorithms. These classes have helped me develop new ways of approaching problems while also providing an understanding of why certain algorithms work better than others when applied in specific situations. 

I am a Data Science Major at UC Berkeley and have been for two years. In order to graduate with a major in Data Science, you must complete four required classes, one of which is an independent study project. 

I have chosen to take this independent study project in order to gain hands-on experience with a data science problem of my choosing and to learn how to effectively apply machine learning algorithms in the real world. My goal is to create an application that can accurately predict where students need tutoring based on their past grades. This project will require me to use various classes of statistical models, such as regression, decision trees, and neural networks. 

How to Write a Personal Statement for Masters Programme in Data Science?

If you are looking for the best way to write a sample personal statement for a master in data science, you should follow these steps: 

• Step 1: The first step is to find out what courses are available in your area and how long it takes to complete them. You can find this information on websites online. 
• Step 2: Once you have this information, you need to think about how much time you will have available each day. It is important that you do not leave your studies until you finish all of your courses because once you finish your degree program, there will be no more work available for you. Your ability to continue working will depend upon how well your personal statement for data science courses was received by universities and whether or not they offer scholarships for those who want to study abroad or online. 
• Step 3: In order to write a good personal statement for M.Sc data science, you will need to think about why you want to continue your education after completing your bachelor's degree program. This could be because of what happened during college or because of something else entirely (such as family obligations). If it is something that happened during college, then you will need to explain what that event was and how it has affected your desire to continue your education. If it is something that happened outside of college, then you should talk about how that event impacted your academic performance and why you want to continue studying.

Data Science Personal Statement Example 

Following is a data science personal statement example. You can refer to this data science statement of purpose example and keep in mind the necessary points.

Source: personal-statement-examples.com

Tips to Write an Effective Data Science Personal Statement

The following tips will help you write an effective personal statement for a master in data science: 

1. Use a Template

It's best to use a template that has been created by experienced admissions officers and other professionals in the field. This means you can skip the writing process entirely since they've already done most of it for you. 

2. Keep Your Sentences Short and Simple

Your goal should be no more than one or two paragraphs per section (including your application summary), which means keeping your sentences as short as possible without compromising clarity or coherence. If there are too many adjectives or numbers used in an otherwise simple sentence, try replacing them with action verbs like "ran" instead of "ran fast." 

3. Avoid Clichés

In your data science personal statement sample, instead of saying things like "I am dynamic," try saying something more descriptive such as “I am highly dynamic” instead because this shows off how creative your mind works while also showing off how well-rounded personas are important traits needed by anyone working at companies when writing an M.Sc data science personal statement.  

Do’s and Don’ts While Writing Personal Statement

Data science is a booming field with a lot of opportunities. You can work anywhere and make a good salary with this skill. If you think that it’s not for you, then it’s time to think again. The world has changed and so have our needs as individuals. Data science professionals will be needed in the future because of their role in shaping our lives as we know them today. In order to pursue a career in this broad field of data science, it is recommended that you pursue KnowledgeHut to learn its principal aspects and gain in-depth knowledge about data science personal statement. Data Science Courses to learn its principal aspects and gain in-depth knowledge about data science.

Frequently Asked Questions (FAQs)

Find out what diploma courses are available in your area and how long it takes to complete them. Once you have this information, you need to think about how much time you will have available each day. After evaluating all these things, start writing your personal statement using templates. 

• The reason(s) why you selected this subject(s) 
• Your chosen area of study and how it relates to the current studies 
• Your experiences in relation to your chosen subject(s) 
• What are your interests and responsibilities in relation to the subject you are studying? 
• After university, what's next? 
• A summary of why you will make an excellent student 
• Don’t use quotes 
• Don’t let spelling and grammatical errors spoil your statement. 
• Don’t copy and paste 

During the writing of the letter of intent for the MS in Data Science course, it is important to take into account the basic questions asked by the institution, including what kind of ambitions the prospective candidate has and the inspiration behind those ambitions. If the students do not want to sound conversational in their essays, then they should keep in mind that the tone should be formal instead of informal.

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Ashish is a techology consultant with 13+ years of experience and specializes in Data Science, the Python ecosystem and Django, DevOps and automation. He specializes in the design and delivery of key, impactful programs.

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Data science personal statement example.

Ever since the commencement of high school studies, I was keen to know application of mathematics in factuality. Its abstract nature intrigued me to question my teachers about relevance and usefulness to mankind. I wanted to apply my learning and understanding invariably in real world circumstances.

It was until the introduction of Operations Research, while studying at college, which satiated my yearning to a certain extent. The problem solving and analytical techniques in Operations Research fostered the logic and decision making, which I believe, is one key component for developing models in real world or an approach towards mathematical modeling.

The process of creating mathematical representation of a real-world scenario to make predictions or provide insights captivated my interest. Although real world problems are often open ended and require iterative methods, but would also promote problem solving skills, creativity and innovation.

Besides Math, my interest in computing initiated right while coding the first program in C++ during bachelors. The backend scripting while using mobile phone, social media, scanning barcode at grocery or making online transactions, escalated my enthusiasm. I believed in the vigorous nature of programming and its effectiveness to engage world dynamically.

Also the symbiotic relation of computing and mathematics led me towards researching pathways blending the two disciplines, to evolve more powerful outcomes which would inherit the scientific and analytic approaches. While discussing it with a friend last year, I got introduced to the big data world and the interdisciplinary field of Data Science, combining aspects of statistics, mathematics, programming and domain expertise to address real problems. I was looking forward to traverse a similar realm and hence Data Science receives preference.

My previous studies helped to gain essential strategic and adaptive reasoning in the study of Algebra, Geometry, Statistics and Calculus. Integration of mathematics with computing widens the scopes and facilitates challenging yet interesting opportunities. This has instilled passion in me to explore computing specializations like Algorithms, Data structures and Programming fundamentals.

For the past six months I have been working diligently, enrolled in several courses to learn programming fundamentals with Python, SQL basics, Foundations of Data Science, k-Means clustering in Python and also Machine Learning concepts on self-learning platforms like Coursera, Udemy, Simplilearn and Youtube. Successful execution of programs like Conversion scales, time zones, board game and DNA processing using Python, exhilarated me and imparted encouragement. Although this helped me immensely to acquire foundational understanding of the subject. However, I needed more holistic education to gain mastery by pursuing formal studies and enrolling in university.

I started looking for reputed universities to pursue masters in Data science or related computer science streams. I figured that the role of data scientist is one of the most in-demand jobs currently in UK and US. Most likely its demand will originate in other regions of the world. My preference towards UK was obvious for couple of reasons. One year master’s program itself is an advantage from an international student perspective. Ever since inception, British universities are known for quality education and accreditation across the world. Many prominent world personalities from all walks of life, have graduated from English universities.

Joining on campus program at foreign land is much more than just universities. It is about the place, environment, people and also the facilities prevailing. As an expatriate living in Saudi Arabia, for about ten years, I have learnt this significantly. Cities like London, Birmingham, Manchester and Leeds provide residence to several expatriate communities exhibiting diverse vibrant cultures.

The world has reached a stage when every conceivable organization is becoming data-driven. Like the vast and ever-expanding universe, the big data fields are in a perpetual expansion mode, both fascinate me. Data is becoming more valuable in fast-paced life and this is creating a plethora of opportunities for data-centric roles in reputed organizations. It is no exaggeration to state that Data Science is making astonishing progress in the multiple domains of technology, economy, commerce and medicine.

After completing masters, I look forward to join established organization to acquire mastery and gain hands on experience in Data Science. However, time ahead, I would like to start a company where I can design advance models with the acquired knowledge and expertise from all the domains. For instance model like – ‘Accident free zones’ by collecting information from traffic flow, speed, regulations to make informed decisions regarding public safety or a ‘model school’ to be implemented by combining the best from several curriculums, adaptable for future generations.

For the past ten years I have been in the field of education, gaining expertise in teaching mathematics, designing curriculums and mentoring learning community. Although teaching-learning is my passion, and would definitely continue it as a hobby, however I am also a kind of person who believe in constant change and progress in life. This instinct supports me to accept demanding expeditions. My future endeavors would be to take slight detour from my current profession to establish myself in another exciting province, to leverage my knowledge, skills and career.

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