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.
I chose the MIDS program for three reasons. The first one was the syllabus and the interdisciplinary perspective of the master. I felt that it was a good combination of core/fundamental courses and electives, something very different from other programs focused principally on theoretical aspects of data science. The possibility of doing an internship with real-life cases was the second reason that made me choose MIDS.
MIDSters joined the Duke AI Hackathon 2024 to test their rapid prototyping and AI skills and snagged 2nd and 3rd place!
We are thrilled to announce two new clubs: Cloud Club and Quantitative Finance and Analytics Club, open to all students.