Data Science is Interdisciplinary
Duke University Master in Interdisciplinary Data Science (MIDS)
program is a small, high-touch, two-year applied data science Master’s program. Our mission is to prepare data scientists to solve real-world problems through critical thinking, collaboration, communication, and the ethical and judicious application of cutting-edge data science methods.
Our project-based learning model and training in cloud, databases, and distributed systems ensure our students are ready to deploy solutions immediately upon graduation.
Why Choose Duke MIDS?
- Experienced faculty
- Small class sizes
- Interdisciplinary curriculum
- Team-based science
- Capstone Projects
Our Students Bring a Global Perspective
My main takeaway from this first class is that this course is not here to ‘teach’ me ethics and policy as fixed content, but to create a space where I learn how to wrestle with these issues myself.” (Data Science Ethics)
Sizhe Chenchen, Class of 2026
“I truly enjoyed interning at Carta Healthcare. I got the opportunity to experience the startup culture and work on a variety of tasks and had amazing mentors from whom I learned a great deal about building scalable applications.”
Prajwal Vijendra, MIDS 2020
“I enjoyed going through the process of doing original research: initially casting a wide net and through exploration and investigation, narrowing it down into a topic that is interesting and relevant. Most importantly, I learned the importance of teamwork in doing research, and how great research is often built on the shoulders of a great team.”
Abdur Rehman, MIDS 2021
“I began my internship at DataWorks NC with a vision of somehow bringing the strengths of data science to the world of community organizing and non-profit work. I wanted to use the rigorous data analysis techniques I was learning at Duke to add to the local conversation around chronic stress and health.”
Allison Young, MIDS 2020
“Capstone projects allow students to gain real-world experience working with non-academic stakeholders on problems they’re interested in. These projects also encourage students to think critically and apply the culmination of skills they have learned while at MIDS.”
Nathan Warren, MIDS 2021
“What influenced me the most when choosing MIDS were the international student body, the interdisciplinary nature of the program, the focus on developing both technical and domain expertise, and the possibility to study in one of the best and most beautiful universities in the world.”
Guillem Amat, MIDS 2021
“At MIDS, the interdisciplinary nature of the courses impressed me the most. Also, the flexibility around course selection, focus on team effort and the capstone project seemed really exciting. The program is not just around building technical skills, but also about developing analytical skills in general.”
Ashwini Marathe, MIDS 2021
Duke MIDS by the Numbers
students enrolled
countries represented
age range
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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.
Felipe Buchbinder has a talent for seeing patterns where others see only chaos. Across a career spanning academia, consulting, banking, and development finance, he believes that data science is more than just tools or equations. Data science is about the perspective you bring to the world and how you use it to create meaningful impact.
Interested in learning how to use Git and GitHub to manage collaborations? Curious what this whole GitHub thing is actually about? Join us for a three-part, zero-prior-knowledge-required workshop series.
