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MS Data Analytics for Science (MS-DAS) at Carnegie Mellon University

Carnegie Mellon University, United States

Programme overview

The MS-DAS is a master's programme for scientists that combines data analytics, computational modeling, visualization and machine learning, offered by the Mellon College of Science, the Department of Statistics and the Pittsburgh Supercomputing Center. It includes access to PSC systems, a semester-long industry capstone and a six-week professional development course.

Faculty: Mellon College of Science  |  Department: Department of Statistics and Pittsburgh Supercomputing Center (with MCS)  |  Duration: One year  |  Study mode: full-time  |  Location: Pittsburgh, PA, United States

What you will study

Linear algebra, statistical modeling, scientific machine learning, computational modeling, high-performance computing and professional communication, with Python as the primary language and SQL and R also introduced.

Official programme page

Application information

Duration: One year

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