Carnegie Mellon University



We have developed an engaging, flexible, and high-quality curriculum that can be tailored to your needs and interests.

We emphasize modern methods, strong communication skills, and the analysis of data from real, interdisciplinary problems (with no “textbook” datasets after the intro level).

With a mastery of data becoming ever more important in so many career directions, we can prepare you with the skills and experience to succeed.

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The Master of Statistical Practice

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

This is a one-year, two-semester professional master's degree program that emphasizes statistical practice, methods, data analysis and practical workplace skills.

The Master of Statistical Practice degree is an intensive two-semester professional master's program that emphasizes statistical practice, methods, data analysis, and practical workplace skills. The MSP program is for students who are interested in professional careers in business, industry, government, marketing, or scientific research, or continuing in graduate school. There is no thesis requirement for this program.

One of the hallmarks of the MSP program is our course, 36-726 "Statistical Practice". The focus of this course is a consulting project. These projects come from companies in and around Pittsburgh as well as on campus.

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Ph.D. Programs

The program of study leading to the degree of Doctor of Philosophy in Statistics seeks to strike a balance between theoretical and applied Statistics. The Ph.D. program prepares you for university teaching and research careers, and for industrial and governmental positions involving research in new statistical methods.

Each year we accept into our Ph.D. program a variety of students with very different backgrounds. Our graduate students come from many disciplines, including mathematics, engineering, the sciences, economics, psychology, and management. Indeed, the diversity of backgrounds of our graduate students is one of the strengths of our department.

Hence, there is no one criterion we use to determine who to accept into our program. Of course, a strong academic background is a necessity. To begin graduate study in Statistics, it is essential that you know linear algebra and advanced calculus. Ideally you should also have had at least a semester each of mathematical probability and mathematical statistics. Beyond that, we are quite flexible.

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