Carnegie Mellon University
MS in Data Analytics
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
Compared with 819 AI programs in our database: CMU Heinz's MS in Data Analytics is one of the most respected analytics degrees in the nation. It is one of the 54% of programs in our database offered fully or partly online.
Admission Snapshot
About This Program
CMU Heinz's MS in Data Analytics is one of the most respected analytics degrees in the nation. The program combines rigorous quantitative methods with business strategy, preparing graduates for senior analytical roles at Fortune 500 companies and government agencies.
Carnegie Mellon University targets the technology sector with this program.
Career Outcomes
The MS in Data Analytics at Carnegie Mellon University is built to move graduates into applied AI and data roles in technology. Its focus on Data Analytics and Business Analytics maps directly to how employers in technology screen for specialized skills rather than generic degrees.
Admissions
Admission to Carnegie Mellon University's MS in Data Analytics generally expects a completed bachelor's degree. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.
Frequently Asked Questions
What makes Carnegie Mellon University's MS in Data Analytics stand out?
CMU Heinz's MS in Data Analytics is one of the most respected analytics degrees in the nation. The program combines rigorous quantitative methods with business strategy, preparing graduates for senior analytical roles at Fortune 500 companies and government agencies.
Can you complete the MS in Data Analytics online through Carnegie Mellon University?
Yes β Carnegie Mellon University lists this program as online. Confirm on-campus residency requirements, if any, on the official program page.
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