Data Science is Interdisciplinary
Duke University Master in Interdisciplinary Data Science (MIDS)
combines rigorous computational and technical training with field knowledge and repeated practice in critical thinking, teamwork, communication, and collaborative leadership to produce data scientists who can add value to any field.
Why Choose Duke MIDS?
- Experienced faculty
- Small class sizes
- Interdisciplinary curriculum
- Team-based science
- Capstone Projects
Our Students Bring a Global Perspective
Duke MIDS by the Numbers
students enrolled
countries represented
age range
%
prior work experience
Alumni: Get Involved
Mentor a student, attend a workshop, catch up with former classmates, and more!
Become a Partner
Learn how you can help MIDS students—and how they can help you.
Kate Coulter (Technology Director, Delaware Democratic Party) is an experienced professional with a robust background in data analysis, technology management, and project coordination. She was part of the inaugural MIDS cohort and recently recognized as one of the Top 50 Women Leaders of Delaware for 2025. Coulter is a socially-driven data scientist who is passionate […]
Kai Cui Managing Director | Head of Data Science Neuberger Berman Kai Cui is Managing Director and Head of Data Science at Neuberger Berman, where he leads the firm’s data...
Stephen J Jeselson Managing Director | Head of Private Capital and Global Asset Management | Institutional Client Group U.S. Bank Stephen Jeselson is the head of U.S. Bank’s Private Capital...
The Duke Master of Biostatistics, Master in Interdisciplinary Data Science, and Master’s in Statistical Science programs are teaming up for our 3rd annual in-person Quantitative Sciences Graduate Career Fair later...