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QS Rank:

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39

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New York University

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New York

United States

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Program Rank

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9

Overview

The Master of Science in Data Science is a highly-selective program for students with a strong background in mathematics, computer science, and applied statistics. The degree focuses on the development of new methods for data science.

A new discipline has emerged to address the need for professionals and researchers to deal with the “data tidal wave.” Its objective is to provide the underlying theory and methods of the data revolution. This emergent discipline is known by several names. We call it “data science,” and we have created the world’s first MS degree program devoted to it.

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Total Tuition Fees

$77,652

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Duration

24 Months

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Median Salary

$1,10,053

Ranking

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#25

US World and News Report

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#24

The World University Rankings

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#39

QS World University Rankings

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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

19

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Average Age

20

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Average Work Experience

1 Years

Language Test Scores

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Minimum Score

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100 / 120

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Minimum Score

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7 / 9

Diversity

Florida:

5%

California:

15%

Illinois:

4%

Texas:

10%

New York:

25%

Others:

41%

Admissions

Application Deadlines

Fall

RoundDeadlineDecision
Standard DeadlineJan 22NA

Eligibility Criteria

Admission to NYU’s Master of Science in Data Science is extremely competitive. This speaks both to the popularity of the field of Data Science and to the very high calibre of students who we seek as part of our program.

Without exception, you must submit the following to support your application for admission:

  • TOEFL or IELTS; however, TOEFL is preferred (Required for all applicants whose native language is not English and who have not received a university degree in an English-speaking country)
  • Official college transcripts
  • Three letters of recommendation (we prefer all letters on letterhead)
  • Statement of Academic Purpose
  • (optional) Personal History Statement
  • (optional) GRE scores


Educational Prerequisites

Successful applicants to the MSDS come from many different undergraduate backgrounds, including degrees in Statistics, Computer Science, Mathematics, Engineering, Economics, Business, Biology, Physics and Psychology. In the 2023 intake cycle, the average GPA was 3.80. Our students’ transcripts usually include As and Bs (only), and we expect stronger grades in more relevant subject matter (see below) from those coming from less selective institutions. Regardless of degree, we require specific and substantial knowledge of certain mathematical competencies, and some training in programming and basic computer science.

To be considered for the program, you will be required to have completed the following (or equivalents, e.g. MOOCs certification or course credit):

  • Calculus I: limits, derivatives, series, integrals, etc.
  • Linear Algebra
  • Intro to Computer Science (or an equivalent “CS-101” programming course): We have no set requirements as regards specific languages, but we generally expect serious academic and/or professional experience with Python and/or R at a minimum.
  • One of Calculus II, Probability, Statistics, or an advanced physics, engineering, or econometrics course with heavy mathematical content

Preference is given to applicants with prior exposure to machine learning, computational statistics, data mining, large-scale scientific computing, operations research (either in an academic or professional context), as well as to applicants with significantly more mathematical and/or computer science training than the minimum requirements listed above.

Application Requirements

What Really Matters When Applying

  • Transcript

    Required

  • TOEFL

    Required

  • IELTS

    Required

  • Academic LOR

    Required

  • Academic LOR

    Required

  • Professional LOR

    Required

  • Personal History Statement

    Optional

  • Statement of Purpose

    Required

  • GRE

    Optional

  • Passport

    Required

  • Application Fee

    $130

Essay Question

Question 1

International Students Answers to common questions that international student applicants may have can be found in the Graduate School of Arts & Science’s Application Resource Center. In particular, questions regarding what degree must an applicant have in order to enroll are addressed here. If you have further questions about your degree eligibility, please contact the GSAS Graduate Enrollment Services team at [email protected]. Information about international transcript evaluations and other information about being an international student at NYU can be found here.

Career Outcomes

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Median Earnings After Graduation

$1,10,053 / year

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Graduation Rate

85%

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Job Placement

95%

Prospective Job Roles

Big Data Analyst

Product Manager

Data Engineer

Manager

Marketing Specialist

Database Administrator

Data Scientist

Business Analyst

Marketing Manager

Project Manager

Big Data Engineer

Global Marketing Manager

Data analyst

Top recruiters

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Fees and Funding

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Tuition Fees

$77,652 / year

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Overall Cost

$1,07,652 / year

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Average Total Aid Awarded

$10,000 / year

Funding Options

Department Funding

Scholarships

This scholarship is awarded to incoming international CGA students on F-1 visas with exceptional academic backgrounds. Recipients must commit to pursuing the MSGA or MSGCC on a full-time basis for a two-year period leading to degree completion. To be considered for the scholarship, candidates must submit the complete application for admission by the International Student Early Decision deadline. Scholarships range between $5,000 and $10,000 annually.



ELIGIBILITY REQUIREMENTS


Incoming student in the MS in Global Affairs or MS in Global Security, Conflict, and Cybercrime program

FAQs

  • The Data Science at New York University has 4 semesters.

  • The annual tuition fee to pursue Data Science at New York University is USD 38826

  • A student can complete Data Science at New York University with in 24

  • In most cases the amount of financial aid you receive will not be affected. If your total enrollment credits and your financial aid application information is the same as it was for the fall semester, the amount of financial aid you receive should remain the same. Please note: Departmental scholarships are not transferable to another school. School of Professional Studies (SPS) students enrolled full-time in the General Studies Program, Division of Applied Undergraduate Studies, the Hotel and Tourism Management Program, or the Sports Management Program may transfer to another undergraduate school at NYU without affecting their financial aid. If you are uncertain of your status, send an email to [email protected].

  • Undergraduate New undergraduate applicants should refer to How to Apply for Aid to learn how to apply for NYU scholarships. Undergraduate scholarship eligibility is determined at the time of admission, so returning undergraduate students should review Renewing Your Aid. Go to Scholarships and Grants for additional scholarship information. Graduate Graduate applicants and returning graduate students should refer to the scholarship information provided on their school website

  • NYU requires the CSS Profile application (for all first year applicants to be considered for institutional [non-government] financial aid. The Free Application for Federal Student Aid (FAFSA) is needed for U.S. citizens, permanent residents, and eligible non-citizens to be reviewed for federal financial aid eligibility. Residents of New York State should submit the New York State Tuition Assistance Program (TAP) application to be reviewed for TAP eligibility

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