We are grateful for the overwhelming interest in MIDS, with nearly 650 applications for our inaugural class of 30-35 students. The Admissions Committee has now completed its work. If you have not heard from us, we regret that we did not get a chance to know you better and hope your plans are working out elsewhere.

Please know that it was exceedingly difficult for the committee as the number of highly qualified applicants was simply much larger than the number we could admit to our inaugural class. Thank you for your interest in MIDS.

The Duke University Master in Interdisciplinary Data Science (MIDS) is home for creative problem-solvers who want to use data strategically to advance society. We're cultivating a new type of quantitative thought leader who uses computational strategies to generate innovation and insights.

MIDS combines rigorous computational and technical training with field knowledge and repeated practice in critical thinking, teamwork, communication, and collaborative leadership to generate data scientists who can add value to any field.

MIDS is structured to connect technical learning and expertise with the many domains in need of data insights. The true power of data in the twenty-first century lies in that connection and our curriculum is developed around the belief that harnessing this power requires both interdisciplinary training and experience with team-based science.

MIDS is a two year program where students will work with Duke’s elite faculty in fields across the university including computer science, statistics, math, economics, political science, sociology, medicine, neuroscience, law, and history.

Experience the full range of the data science ecosystem and graduate as an expert in at least one analytical approach or branch of technology.

Learn more about our courses
Ethics, Visualization & Storytelling, Machine Learning, Text Analysis, Modeling & Representation, Practical Decisions
communication, problem solving, critical thinking, creativity, and data analysis

MIDS will help you develop the skills you need to be successful — communication, problem solving, critical thinking, creativity, and data analysis.