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 […]
Data science internships during graduate school are a powerful way to gain real-world experience, build technical and professional skills, and explore different career paths. They allow MIDS students to apply...
Nick Eubank is an Assistant Research Professor in Duke’s Department of Political Science and the Social Science Research Institute (SSRI), where his work explores political accountability through topics such as...
Congratulations to our incredible graduates! Earning a degree in data science is no small feat. It requires sharp analytical thinking, technical skill, and a deep curiosity about the world. We...