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US holisticUnited States · Master’sResearched 0d ago

Data Science

Yale University
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Overview
Yale’s M.S. in Statistics and Data Science uses a holistic U.S.-style review, but the department says recommendations are based on academic grounds. The program emphasizes fit, prior academic record, motivation for studying statistics/data science, and standardized test results where relevant; it does not list a portfolio requirement.

Admission criteria

PortfolioLow

No portfolio, work-sample, or project submission is listed for this M.S. program; admissions are described in academic terms instead.

Bar to clear: Not used by this program

Statement of PurposeHigh

The required statement of academic purpose is used to judge motivation, program fit, and how the applicant’s preparation and interests align with Yale.

Bar to clear: Strong, specific fit for Yale statistics/data science

Academics & GPAHigh

The department says admissions are based on academic grounds, including past academic record and the applicant’s potential to complete the coursework.

Bar to clear: Strong undergraduate record in quantitative coursework

Test scoresMedium

GRE is optional for Statistics and Data Science, while TOEFL/IELTS is required for most non-native English speakers; test scores are part of the academic review.

Bar to clear: GRE optional; TOEFL iBT or IELTS Academic for most non-native English speakers

Application components

Statement of academic purposeUnofficial transcriptsGRE General Test (optional)GRE Mathematics Subject Test (optional)TOEFL iBT or IELTS Academic
How to stand out
→Write a purpose statement that shows direct fit with Yale’s statistics/data science curriculum and faculty strengths.
→Highlight rigorous quantitative coursework and a strong GPA trend, especially in math, statistics, and computing.
→If submitting GRE, make the quantitative score clearly competitive; if English testing applies, target a strong TOEFL/IELTS result.
→Since there is no portfolio slot, use the statement to summarize concrete projects and technical depth only as evidence of readiness.
Source confidence
93%Well sourced
Sources
Terminal M.A./M.S. Admissions | Department of Statistics and Data Science, Yale
statistics.yale.edu/graduates/terminal-mams-programs/terminal-mams-admissions
States admissions are based on academic grounds; cites past academic record, motivation, standardized test scores; GRE no longer required; TOEFL required for most non-native English speakers.
Statistics & Data Science | Yale Graduate School of Arts and Sciences
gsas.yale.edu/programs-of-study/statistics-data-science
Lists MS degree and notes GRE and GRE Mathematics Subject Test are optional; TOEFL iBT or IELTS Academic required for most non-native English speakers.
PhD/Master's Application Process | Yale Graduate School of Arts and Sciences
gsas.yale.edu/admissions/phdmasters-application-process
Lists required application materials including statement of academic purpose and unofficial transcripts; explains that fit and alignment matter.
Standardized Testing Requirements | Yale Graduate School of Arts and Sciences
gsas.yale.edu/admissions/phdmasters-application-process/standardized-testing-requirements
Confirms Statistics and Data Science testing policy: GRE optional; Mathematics Subject Test optional; TOEFL/IELTS rules for non-native English speakers.
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