The Sports Analytics graduate certificate provides students with quantitative and applicable skills in support of the analysis of sports performance. Students develop analytic techniques in stochastic and statistical analysis with written and verbal communication skills. They will be able to transfer data on player performance into metrics, develop analytical models to differentiate player performance, and communicate effectively with non-quantitative decision makers. The applications draw from quantitative issues in management of day-to-day operations, player developing and assessment, and player recruitment. The certificate is targeted at professionals in the sports industry or college athletics, former athletes transitioning into sports analytics, and quantitatively literate people who are transitioning into sports analytics. The certificate is available online only.
AdmissionStudents must:
- Complete an application with approval from both the Department of Mathematics and Department of Statistics and Probability.
- Have background in mathematical and statistical foundations normally acquired through course work in multivariable calculus, linear algebra, and statistics and probability.
Requirements for the Graduate Certificate in Sports AnalyticsStudents must complete 12 credits from the following:
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| MTH |
801 |
Machine Learning Algorithms: Mathematical Analysis |
3 |
| MTH |
803 |
Sports Decision Analytics |
3 |
| STT |
832 |
Data Visualization and Programming in R |
3 |
| STT |
834 |
Sports Analytics Capstone |
3 |