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 graduated from Duke’s Master in Interdisciplinary Data Science (MIDS) program in 2020 as part of its inaugural cohort. Five years later, she’s the Technology Director for the Delaware Democratic Party, a recent recipient of Delaware’s Top 50 Women Leaders award, and a vocal advocate for data-driven decision-making in public service. But getting here […]
We are excited to welcome Dr. Yang Chen back to Duke for the Quantitative Finance Speaker Series. Dr. Chen leads the U.S. Fixed Income Risk and Quantitative Analysis Group at...
Sarthak Pattanaik Chief Data & Artificial Intelligence Officer BNY Friday, September 26, 2025 Gross Hall 103 12:00-1:00 pm Data Science and AI in Banking Curious about the future of financial...
Congratulations to Peter de Guzman (’26), who recently won second place in the National Collegiate Book Collecting Contest! In recognition of his achievement, Peter will receive a $1,000 cash prize...