MS Data Science & Statistics: How to Apply

¶¶Òõ¶ÌÊÓƵ's MS in Data Science & Statistics is a rigorous and interdisciplinary program designed for students with strong quantitative backgrounds. 

Academic Prerequisites

Applicants are expected to have completed the following undergraduate coursework:

  • Calculus: At least two semesters (equivalent to Calculus I and II)
  • Probability and Mathematical Statistics: Two semesters recommended
  • Matrix Algebra / Linear Algebra: At least one semester

It is preferred that applicants hold a degree in a STEM field or a quantitatively oriented discipline.

Application Deadline

Admission is rolling, but we recommend submitting your application by the following dates:

  • January 30: Priority deadline for applicants seeking scholarship consideration
  • April 15: Recommended deadline for full admission consideration for the following fall semester

We strongly encourage early application to maximize opportunities for admission and funding.

Required Application Materials and How to Apply

All applicants must submit the following through ¶¶Òõ¶ÌÊÓƵ's Graduate School :

  1. Online Application Form
  2. Official Transcripts from all previously attended institutions
  3. Personal Statement outlining academic background, career goals, and interest in the program
  4. Two Letters of Recommendation
  5. Resume or CV
  6. English Proficiency Scores (TOEFL, IELTS, or Duolingo) – required for international applicants unless exempt

GRE scores are not required for this program.

International Applicants

International applicants are encouraged to apply early and must meet all English proficiency requirements set by the Graduate School. For more information, visit the International Student and Scholar Services (ISSS) page.

Advice for Students Considering a PhD

Our MS in Data Science and Statistics program is designed to be a professional degree program, preparing students to work as professionals after graduation. For applicants who intend to continue study in a PhD program in mathematics or statistics, please be advised that such a transition is not guaranteed, but is possible.

If you plan to pursue a PhD after the MS, we recommend:

  • Taking Math 501 (Probability) and Math 502 (Statistical Inference) rather than Math 500
  • Selecting theoretical or mathematically intensive electives such as real analysis, measure theory, or statistical theory
  • Discussing your goals with your academic advisor early in the program

Questions?