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US holisticUnited States · Master’sResearched 0d ago

Data Science

New York University
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Overview
NYU's MS in Data Science is a transcript-driven, quantitative admissions review with a required statement of purpose and conditional English-test requirements; a portfolio is not part of the standard application.

Admission criteria

PortfolioLow

No portfolio or work-sample requirement is listed for the standard MS in Data Science application.

Bar to clear: Not used by this program

Statement of PurposeMedium

The program expects a clear statement explaining study interests, goals, program fit, and readiness for graduate work in data science.

Bar to clear: A focused, two-page statement with clear program fit

Academics & GPAHigh

This is the main academic filter: the program wants substantial math preparation, strong performance in relevant subjects, and transcripts with mostly As and Bs.

Bar to clear: Typical competitive GPA is about 3.81, with strong grades in math/CS/stats

Test scoresLow

English-proficiency scores are required for some applicants; GRE is optional and standardized tests are not the main driver of admission.

Bar to clear: TOEFL iBT 100+ recommended; IELTS 7.0 recommended; GRE optional

Application components

Statement of Academic PurposeOfficial college transcriptsTOEFL or IELTS score report (if required)GRE General score report (optional)
How to stand out
Show advanced coursework in calculus, linear algebra, probability/statistics, and programming.
Write the statement around specific data science interests, preparation, and program fit.
If you need English testing, target TOEFL 100+ or IELTS 7.0+ rather than the minimum.
Highlight any machine learning, data mining, computational statistics, or research experience in your academic record.

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