If you’re ready to turn data into decisions that actually matter, Duke’s Master in Interdisciplinary Data Science (MIDS) is built for you.
Our mission is simple (but ambitious): prepare data scientists to solve real-world problems through critical thinking, collaboration, clear communication, and the ethical, thoughtful use of cutting-edge methods. This isn’t data science in a vacuum, it’s data science with impact.
Why Duke MIDS?
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Critical thinking first: Learn how to frame the right questions, interpret data responsibly, and connect analysis to real decisions.
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Team-based problem solving: Build the skills that make teams work including psychological safety, clear communication, and shared expectations.
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Industry-ready tech stack: Hands-on training in cloud computing, databases, and distributed systems so you can deploy solutions immediately.
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Ethics at the core: Understand the real consequences of data science choices and how to make them responsibly.
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Communication that lands: Learn to explain insights, uncertainty, and recommendations to audiences of all backgrounds.
What makes the program unique
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A project-based, four-semester curriculum grounded in the data-to-decision cycle
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Core courses taught by faculty across Duke, reflecting the truly interdisciplinary nature of data science
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Flexible electives across departments, letting you tailor your expertise
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Real-world, collaborative projects (from public health to digital humanities) embedded in Duke’s deeply collaborative research culture
If you want to be the kind of data scientist who can work across disciplines, lead teams, and drive meaningful change, Duke MIDS is your next step.
Applications close Thursday.
Don’t miss the chance to join a program designed to help you make data matter.