Who should apply?


The M.S. in Data Science is a rigorous program and successful applicants must show demonstrated academic performance, personal motivation, and other tangible skills such as tenacity, flexibility, maturity, and the ability to work in diverse teams. They must also have the following:

  • A problem-solving mindset
  • Working knowledge of discrete mathematical and statistical concepts
  • High-level of quantitative ability
  • Effective Communication Skills
  • Proficient at programming (Python or R language)

How to apply

A specific undergraduate major or program of study is not required. Students have come from a variety of majors and disciplines, including but not limited to astronomy, biology, business, computer science, engineering, economics, journalism, languages, mathematics, nursing, public policy, and statistics. Applicants must have earned their bachelor's degree prior to matriculation from a three- or four-year accredited institutions.

The program requires four prerequisite courses in addition to application requirements. Check out Prerequisite Key Topics for course descriptions, whether courses you have taken count toward prerequisites, and how they can be fulfilled.

View Important Deadlines

Download the application checklist (PDF) below.

Prerequisite Courses

Application Requirements

For questions about the application process, check out the Frequently Asked Questions or reach out to Director of Admission & Financial Aid Patti Edson to schedule an advising call. For technical issues regarding the application, reach out to SDS Admissions.