- GRE General: Recommended
- GRE Subject: Not required
- Record of grades or other academic performance
- Letters of reference (you might suggest to your letter writers that they look at this site)
- TOEFL (for applicants whose native language is not English)
We accept applications until March 15 for fall admission. We admit students on a rolling basis but cannot accept applications after the deadline has passed. Once the application system has closed, it will not reopen until mid September for new applications. You will be notified by the Graduate School if you are admitted.
Please go here to apply. We strongly urge you to provide unofficial (scanned) copies of your transcripts as part of the electronic application. You will be prompted to mail an official copy of your transcript if you are accepted to the program.
Graduate applications are handled by a combination of the Data Science Initiative and the Graduate School. Your application is formally processed by the Graduate School. Its content is then read by members of the Data Science Initiative, who then forward their recommendations to the Graduate School. The Graduate School formally admits you to the program. Therefore, you may receive correspondence from either of these entities.
The new master’s program at Brown aims to admit students from a wide range of backgrounds for distinctive careers in Data Science.
Students entering the program will be required to have completed at least a year of calculus (at the level of MATH 0090 & 0100), a semester of linear algebra (at the level of MATH 0520), a semester of calculus-based probability and statistics (at the level of APMA 1650), and an introduction to programming (at the level of CSCI 0150 or 0170).
We also admit exceptional students who lack one or more of the minimum requirements in linear algebra, probability and statistics, and computer science. The four departments (Math, Applied Math, Computer Science, and Biostatistics) will offer a suitable course in each of these three topics during the Brown summer session before the first semester.
The students may also acquire the necessary prerequisites at another institution, with the approval of the program director.