David B. Falk College of Sport and Human Dynamics
Curriculum
Courses cover visualization of data, coding in R and Python, linear regression and econometrics, and machine learning techniques. Specialized courses relate to sports gambling and daily fantasy, and analytics applications to the collective bargaining agreements of major sports leagues.
Sample courses:
- SAL-601 – Introduction to Sport Analytics and Visualization
- SAL-602 – Introduction to R for Sport Analytics
- SAL-603 – Introduction to Python for Sport Analytics
- SAL-604 – Linear Regression, Econometrics, and Machine Learning for Sport Analytics
Program Details
Make Your Mark in an Emerging Field
Analytics are changing the way sports operate on many fronts. Data-driven decision-making is used in game planning and on-field strategy. Key metrics are used to place valuations on players’ salaries. Modeling of fan behavior helps to effectively price and maximize revenues as it relates to attendance, media deals, sponsorship, marketing, and other revenue sources to maximize value to the organization. In the M.S. program, you’ll gain advanced data analytics skills so you can have a major impact on sports teams and businesses.
Network, Learn, and Compete Nationally
While our clubs and organizations meet weekly and in-person on campus, graduate students still can participate in many of our projects and competitions. We work closely with several teams, leagues, and companies that need analytical services. Our students solve real-world dilemmas and present their findings to industry leaders. In addition, there are graduate sectors for many of the competitions that our undergraduate students enter. We encourage our graduate students to participate in these competitions, and we’ll provide the support needed to make you the best competitor.
Learn more about this program