M.S. Admissions Requirements

Application deadlines:

  • July 1 for Fall Enrollment
  • November 1 for Spring Enrollment

In addition to the online application for admission, all applicants to the M.S. in Data Science must also submit:

  • Two letters of recommendation
  • A statement of purpose explaining the student’s career objectives, interests, and academic and professional background that are relevant to the degree program
  • Graduate Record Examination (GRE) Quantitative Reasoning score of at least 80th percentile.
    • Please note that the GRE score may be an important part of the acceptance decision. Applicants are highly encouraged to take the GRE if it is accessible; if it is not available/accessible, it will be up to the student to prove their qualification for the program by providing other relevant information.
    • Some special considerations may be made due to the impact of COVID-19 - learn more.
  • Scores from either the Test of English as a Foreign Language (TOEFL) or the International English Language Testing System (IELTS) unless they have a post-secondary degree from an institution in which the language of instruction is English-only and located in a country that recognizes English as an official language.
    • Please note that applicants who have studied only in Puerto Rico or India must complete the TOEFL or IELTS.
    • Some special considerations may be made due to the impact of COVID-19 - learn more.
  • Sample works (e.g., projects, programming code repositories, websites, videos, creative works) that demonstrate professional experience related to the program (optional)

Your application should show/demonstrate that you have:

  • A bachelor’s degree (or its equivalent) in computer science from an accredited college or university, as of the date of matriculation in the program
    • Students with degrees in STEM fields, including mathematics, statistics, information science, information systems, and engineering may be considered if they are exceptional, meet the required course and programming prerequisites, have at least a B grade point average, and meet the GRE requirement of at least 80th percentile quantitative score.
    • For non-STEM degree students, we are partnering with NYU Tandon Bridge Program designed for students with non technical background to gain the required knowledge and skills to be eligible to apply for our M.S in Data Science program. Learn more about the NYU Tandon Bridge Program. (Please note, completion of this course does not waive our GRE requirement nor it guarantees admission to our program.)
  • At least one course in each of the three areas: linear algebra, probability and statistics, and algorithms
  • Fluency in programming at least one of the following languages: Python, Java, or C++
  • Demonstrated aptitude for graduate study, as shown by a minimum grade point average of B in undergraduate or graduate coursework

How to Apply Apply online now

COVID-19 and Exam Requirements

We are aware that the COVID-19 situation may prevent students from taking the GRE or TOEFL exams. Applicants who have already taken the exam(s) will be required to submit their scores. Applicants who have not yet taken the exam are encouraged to submit all other application materials. The Program Admissions Committee will review each file and may request additional writing samples or interviews as alternative means of assessing the qualifications typically measured by these standardized tests.

Tuition and Fees

Master’s students at The Graduate Center who are residents of New York State and registered for a minimum of 12 credits per semester will pay a flat fee for tuition. Out-of-state residents and students taking less than 12 credits will be charged on a per-credit basis.

See current master’s tuition rates »

Each student will be billed for a Graduate School student activities fee, a University student senate fee, a University consolidated services fee and a technology fee. These fees are not refundable.

Fellowships and Financial Aid

While The Graduate Center does not currently offer full-tuition scholarships or additional stipends for living expenses, there are funding opportunities available to master’s students that can help cover the cost of attendance, including scholarships, federal and private loans, and federal work-study.

Learn more about financial aid for master’s students »