Course Schedule
Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.
Online Sync Sessions are an integral part of the online learning experience. Additional information about learning concepts and assignments may be discussed and sync sessions offer valuable opportunities for students to interact with their faculty and peers during the term. We encourage all students to attend live, but if they are unable to, sync sessions will be recorded and posted within Canvas to allow for an asynchronous model of success as well.
MSA 401-0 : Introduction to Sports Analytics
Description
This course provides a broad introduction to data analysis and statistical methods as they relate to the sports industry. Students will learn how to use these methods to better understand and analyze issues central to sports management. Students will be introduced to quantitative and analytical third-party services that are used by sports organizations as part of a larger exploration of the business economics of sports. When students leave the course they will be able to: analyze sports organizations; analyze revenue streams and recommend new, data-driven approaches to maximize monetization opportunities; and value teams, athletes, sponsorships, and brands using quantitative analysis.
This course is not required for the Sports Analytics Specialization. Students enrolled in the Sports Analytics Specialization are required to take MSDS 401-DL Applied Statistics with R in lieu of MSA 401.
Spring 2025 | ||||
Start/End Dates | Day(s) | Time | Building | Section |
03/31/25 - 06/13/25 | W | 7 – 9:30 p.m. | 50 | |
Instructor | Course Location | Status | CAESAR Course ID | |
Grossman, Adam Cervantes McGreevy, Leslie | Evanston Campus | Open |