Many colleges and universities require a statement of purpose for master’s in data science student applications. The statement of purpose can play an important role in your application, as it allows admissions staff to learn about your goals, experience and education outside of scores and grades. This guide will cover what a statement of purpose is, what needs to be included in it, frequently asked questions and tips to help craft your own.

A statement of purpose is a short essay written by master’s of data science applicants discussing their work and educational history, goals for the program and future career interests. A statement of purpose for master’s in data science programs may also detail any deficiencies in an application such as an employment gap, low GRE or GMAT test scores or grades and information about independent study in lieu of other relevant coursework. The statement of purpose provides a space to highlight your specific life experiences and goals in your own words.

Admissions committees typically look for the following information:

While every school has different requirements, the general format for a data science master’s statement of purpose may include:

Refer to the college or university’s requirements before submitting, particularly if you are sending out multiple statements of purpose to different schools.

Master’s in data science programs may ask for a statement of purpose or a personal statement—some may ask for both. While these might seem like the same thing, there are a few distinctions.

A statement of purpose typically is focused on academic and analytical information. A school requesting a statement of purpose may request information about reasons for applying for graduate study as well as relevant professional interests and goals. A personal statement might be a broader essay asking about life experiences and interests—though still as they relate to the program.

It’s important to read admissions requirements carefully to determine what information each school wants from either a statement of purpose or a personal statement.

A statement of purpose may be daunting for master’s in data science applicants, but there are some steps you can take to make sure you’re delivering a good effort. The tips below can help guide you while writing your statements of purpose for data science programs.

Read samples of statements of purpose. If you have access to successful applicants’ essays, read them. If not, read a wide variety of statements of purpose and notice what does and does not work. Be sure not to plagiarize as it could be grounds to deny your application.

As mentioned above, a statement of purpose should highlight who you are and how you work analytically. Take time to brainstorm relevant topics that showcase experience as well as signs of interest in the data science field. After you have your bullet points set, focus on a structure that best highlights you as an applicant. Make an outline before you start writing.

A statement of purpose should be clear and to the point. It’s not a recap of your entire life or resume. Avoid covering too much information in your statement of purpose. Stay focused on one or two key topics and provide plenty of supporting information to showcase your analytical skills as it relates to those points.

Admissions committees read hundreds of applications. A focused and interesting introductory paragraph can grab the attention of the reader and keep them from putting your statement down. A personal anecdote, a thought-provoking question or an emotionally compelling story at the beginning of your statement of purpose can all grab a reader’s attention.

Write about any activity that highlights your strengths as a data scientist. If you have relevant experience on a resume or affiliations with a professional organization, make sure you highlight that. A statement of purpose, in part, is about what makes you qualified to become a data scientist.

A statement of purpose is about how your experience, culture and background has helped prepare you for a career in data science. This is not the time to write at length about your professor’s career or general concepts of data science. A statement of purpose often requires a limited amount of space. Make sure you are using it effectively to highlight your own strengths.

Take the truthful approach and recall your experiences and accomplishments with complete honesty and authenticity. While it may be tempting to inflate your experience or accomplishments in data science or analysis, misrepresenting data—or outright lying—will hurt more than it will help.

Data science is used to draw information from raw data sets and as such, those working in data science may need to be able to explain their findings. A statement of purpose is the first place you can showcase an ability to effectively communicate. Avoid rambling, vague or repetitive language and keep the tone positive and outcome-focused.

Read and re-read the school’s instructions for submitting a statement of purpose. Data science requires attention to detail. You don’t want to disqualify yourself by not following basic instructions. Make sure you meet all the stated requirements, and don’t make mistakes like exceeding word count or incorrectly formatting a document.

Check your essay for any grammatical errors. While data scientists often deal with numbers more than writing, it’s still important to proofread because it will show the admissions committee you pay attention to details.

Before beginning your master’s in data science application, get answers to any final questions about statements of purpose. If you’re still unsure about the process, consider asking your admissions counselor.

 

Cited in mastersindatascience.org // Arranged by David Jang