Master's in Data Science Admission Requirements

Most data science master's programs ask for the same core set of materials: a bachelor's degree, transcripts, a résumé, a statement of purpose, letters of recommendation and, for many international applicants, an English test score. Where they differ is in the details: GPA thresholds, how much math and programming they expect, whether the GRE counts at all, and when you can start. This guide walks through each requirement using wording that programs publish on their own admissions pages, so you know what to look for when you compare master's programs.

The bachelor's degree and GPA

A completed bachelor's degree is the baseline for nearly every program. A few programs state that the major can be anything; others expect a quantitative or computing background (see the prerequisites section below).

GPA rules vary in how firm they are:

• Stated minimum. Rice lists "3.0+ GPA" among the materials for its on-campus Master of Data Science, and Carnegie Mellon's Master of Computational Data Science says the School of Computer Science requires "A GPA of 3.0 or higher."
• Preferred, not fixed. Drexel's online M.S. in Data Science lists a "3.0 GPA preferred in a prior completed degree," while Drexel's general admissions page recommends GRE scores to applicants below 3.0.
• No cutoff. Harvard SEAS says plainly: "There is no GPA cutoff," and describes a holistic review of all materials.

A GPA below a stated minimum does not always end an application, but read the page for what it asks you to add instead, such as test scores or an explanation.

Prerequisites in math and programming

Data science programs often publish prerequisite coursework, usually some combination of calculus, linear algebra, statistics and programming. In our directory (October 2026), 69 of the 102 master's programs we list publish prerequisites of some kind (methodology). Some phrase these as requirements, others as recommendations. Harvard, for example, says there are no formal prerequisites but that successful applicants need a "comfortable working knowledge of calculus, linear algebra and differential equations," plus programming fluency.

The details are covered in separate guides on math prerequisites and programming prerequisites, and on applying without a computer science degree.

GRE policies and how to read them

The GRE General Test has three sections, Verbal Reasoning, Quantitative Reasoning and Analytical Writing, according to ETS. Data science programs treat it in very different ways. In our directory (October 2026), the 102 master's programs break down as follows:

The labels mean different things in practice:

• Not required, and not reviewed. Some programs go further than "not required." The University of Washington says "we do not accept GRE or GMAT scores," and UVA's online program says it does not "require or accept" them. CU Boulder's residential program calls its review "test blind." Brown's Sc.M. says submitted scores "will not be evaluated."
• Optional. Scores are welcome but not needed. Harvard SEAS says "General GRE and Subject GRE scores are optional." If you have strong quantitative scores, an optional test can add evidence; if you don't, leaving it out is allowed.
• Recommended or conditional. Rice's on-campus MDS lists "GRE recommended, but not required." Others tie the test to GPA: Drexel recommends a GRE if your GPA is below 3.0, and Rice's online program says the GRE "is required for applicants with a <2.9 GPA" unless the admissions committee grants an exception.
• Required, with waivers. Carnegie Mellon's MCDS requires GRE scores that are "less than five years old" (waived for CMU undergraduates). UNC Charlotte's Data Science and Business Analytics M.S. requires the GRE or GMAT but waives it for applicants with a degree from an accredited U.S. institution and a GPA of 3.0 or higher.

One rule matters most: a page that says nothing about the GRE is not a "no GRE" page. Policies often sit on a graduate school's general page rather than the program's. If you cannot find a statement, ask the program in writing. Our no-GRE list only includes programs whose pages state the policy.

Letters, statements, résumés and other materials

Letters of recommendation range from none to three. Rice's on-campus MDS and Harvard SEAS ask for three; Drexel asks for one and suggests two; Indiana University's online M.S. asks only for the name and email of one academic or professional reference. Check who the letters should come from: some programs want faculty, others accept supervisors.

A statement of purpose is close to universal. Read the prompt carefully, since some pages give a word count or specific questions.

Some programs add their own pieces. Duke's MIDS asks for "a 3-5 minute video" about a project you have worked on, pitched to a smart listener who is not a data scientist. Northwestern's MS in Machine Learning and Data Science lists an optional candidate video. Application fees also vary; Rice lists $85 for its on-campus MDS.

English proficiency tests

Applicants whose first language is not English usually need a TOEFL, IELTS or similar score, with waivers commonly granted for a degree taught in English. Minimums vary noticeably:

• Drexel: TOEFL iBT 90 or higher (old scale), IELTS 6.5, or Duolingo 115.
• Northwestern's MS in Machine Learning and Data Science: TOEFL 100 (internet-based) or IELTS 7.5 as the lowest acceptable scores.

Note whether a number is a hard minimum, a "recommended" score or a typical score of admitted students. Pages use all three, and they are not interchangeable.

Deadlines and start dates

Campus programs often admit once a year. Rice's on-campus MDS has one intake, "fall admission only," with a scholarship-priority deadline of February 10, 2027 and a domestic deadline of July 1, 2027, after which applications continue on a rolling basis. CU Boulder's residential M.S. asks for all materials by its February 15 deadline.

Online programs tend to offer more entry points. Indiana University's online M.S. advertises "classes starting every eight weeks," and its page lists a December 1, 2026 deadline for a January 11, 2027 start.

When you compare programs, separate three dates: priority or scholarship deadlines, final deadlines, and the term you would actually begin. A rolling deadline still has a last date, and international applicants often face an earlier one because of visa processing.

A checklist before you apply

• Confirm the degree's exact name and that it is a data science degree, not a concentration inside another degree.
• Note the GPA rule and whether it is a minimum or a preference.
• List each prerequisite and whether it must be finished before applying or before the first term.
• Record the GRE policy in the program's own words, with the page it came from.
• Check letter count, statement prompt, any video or assessment, the fee and English-test minimums.
• Write down every deadline and start term for your intake.