ADVANCED SPORTS ANALYTICS
Illustrates the use of statistical modeling and data science techniques to derive actionable insights from sports data. Emphasizes not only technical calculation of advanced metrics but also on written and oral communication to other data scientists and to non-technical audiences. Topics may include: deriving team rankings from paired competitions; measuring an individual player's contribution to their team's overall success; assessing player performance and team strategy in terms of expected outcomes; forecasting the impact of new rule changes using simulation; and creating new metrics using high-resolution player tracking data.
Prerequisites & course information
Requisites: STAT 333 , 340 , 601 , 611 , ACT SCI 640 , or GEN BUS 656 Course Designation: Core GenEd - Natural Science & Wellness + Lab Breadth - Natural Science Level - Advanced L&S Credit - L&S Liberal Arts and Science Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Implement appropriate statistical methods to assess player and team performance. Audience: Undergraduate 2. Derive actionable insights about player and team skill from play-by-play and high-resolution tracking data. Audience: Undergraduate 3. Communicate analytical processes, results, and conclusions to technical and non-technical audiences through written reports and oral presentation. Audience: Undergraduate 4. Provide constructive feedback on your peer's written reports and oral presentations. Audience: Undergraduate 5. Build a personal portfolio of sports data analyses and research projects. Audience: Undergraduate Learning Outcomes: 1. Implement appropriate statistical methods to assess player and team performance. Audience: Undergraduate 2. Derive actionable insights about player and team skill from play-by-play and high-resolution tracking data. Audience: Undergraduate 3. Communicate analytical processes, results, and conclusions to technical and non-technical audiences through written reports and oral presentation. Audience: Undergraduate 4. Provide constructive feedback on your peer's written reports and oral presentations. Audience: Undergraduate 5. Build a personal portfolio of sports data analyses and research projects. Audience: Undergraduate
Sources
- Course catalogue ↗2026-2027