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 […]
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