Master of Science in Data Analytics for Science

As society becomes increasingly data-driven, the ability to apply data analytics to scientific domains is not just advantageous — it’s essential. The Master of Science in Data Analytics for Science (MS-DAS) degree program at Carnegie Mellon University prepares you to meet this rising demand, with leading-edge training in data analytics, computational modeling, data visualization tools and machine learning.
Unlike other master’s degrees in data science designed for computer science or engineering backgrounds, the MS-DAS program is tailored for students from biology, physics, math, chemistry or related fields. Students build on their scientific expertise while mastering machine learning and advanced computational tools for discovery, innovation and impact in their fields.

We require three (3) letters of recommendation from professional or academic sources.

To apply, you must hold a four-year bachelor\u2019s degree from an accredited college or university in the U.S. or an equivalent degree from a foreign country prior to the start of the program.

You must upload legible scanned/digitized copies of official transcripts and degree certificates indicating name, degree earned and the date the degree was completed (if applicable) for ALL institutions attended, including exchange programs and transfer credits.