Department of Statistics Unitmark
Dietrich College of Humanities and Social Sciences

Master of Statistical Practice

Carnegie Mellon University's premier professional training in data science program.

This is a one-year, two-semester professional master's degree program emphasizing competencies in three main areas of focus: Data Analysis, Statistical Computing, and Professional Skills.

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How To Apply


Welcome and thank you for your interest in the Master of Statistical Practice Program here at Carnegie Mellon University. Our program focuses on statistical practice, methods, data analysis, and practical workplace skills. Our graduates have been quite successful in finding jobs in many diverse industries including Google, Citi, General Motors, Bank of America, and Groupon, to name a few. We encourage you to peruse our website and reach out with any questions you may have.

What Do Alumni Have To Say?

"One thing that I feel is worth highlighting is the consulting project, as it was a unique experience that helped a great deal in developing our statistical thinking skills. Given a research question and a data set, we thought through each aspect of the analysis, from cleaning the data, deciding what methodology to use, doing the analysis and presenting the results. These are skills that are applicable to working in industry, as many jobs (including mine) are project-based."

"I think the MSP program is a unique program that not only prepares you for the practical statistical analysis experience that gives you a significant edge on the job market, but also teaches you theoretical knowledge necessary for you to go above and beyond on your own later in your professional career."

I learned to first understand the problems, check assumptions and apply statistical knowledge to solve real world problems. And also I was trained to work on projects as a team, write reports about the analysis and finally give presentations based on the results we got. As a result, I am not only able to use statistics to solve problems in sciences but also in various kinds of fields such as education, clinical trials and so on.