Applied Statistics and Analytics

Why This Program & What You'll Learn

Transform numbers and data into real-world insights. The master’s program in applied statistics & analytics provides you with advanced knowledge and real-world applications in data science. You’ll also learn valuable teamwork and presentation skills that are essential in the workplace.

We offer several sequences of coursework, including data management and programming, data mining, predictive modeling, big data analytics and applied statistics.

Most of the courses require a semester-long research project. You are encouraged to exhibit your projects at CMU's Student Research and Creative Endeavors Exhibition. Outstanding projects are recommended for international project competitions organized by the SAS Institute. In previous years, several student projects have won the competitions.

The statistician employment rate is expected to increase much faster than average at 31 percent from 2021 to 2031 as projected by the U.S. Bureau of Labor Statistics. It is rated the 30^th best job of all disciplines and No. 10 in Best Business Jobs, according to U.S. & World Reports “2023 Best Job” rankings.   

Partnering with the SAS Institute, the world leader in analytics, we prepare you for two SAS professional certificate programs. One program is the Certified Specialist: SAS Base Programming Certification Exam and the other is the Predictive Modeler Professional Certification Exam.

We offer graduate teaching assistantships to master's students. Teaching assistantships are determined by the graduate committee based on academic credentials and previous teaching performance.

Program Highlights

As a student in the CMU applied statistics & analytics master’s program, you’ll:

• Work alongside faculty mentors with expertise in actuarial and risk analysis; Bayesian techniques and applications; and data mining.
• Develop strong analytical skills and abilities to manage and interpret big data — talents that are in high demand in virtually every discipline.
• Participate in internships or research projects of your choice supervised by a faculty advisor, an internal or external consulting project, or an internship at a company.