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-DL : 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.


Winter 2025
Start/End DatesDay(s)TimeBuildingSection
01/06/25 - 03/22/25Sync Session M
7 – 9:30 p.m. 55
InstructorCourse LocationStatusCAESAR Course ID
Grossman, Adam
Cervantes McGreevy, Leslie
Online
Open

Summer 2025
Start/End DatesDay(s)TimeBuildingSection
06/23/25 - 08/30/25Sync Session Days: TBA
7 – 9:30 p.m. 55
InstructorCourse LocationStatusCAESAR Course ID
Grossman, Adam
Cervantes McGreevy, Leslie
Online
Open
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