This course will provide students with an introduction to using specific data techniques to address key sports administrative functions in team and roster management. The primary focus is on the use of data analysis in player acquisition and retention, as well as player and coach assessment. Students will learn how the collective bargaining agreement (CBA) and standard player contract (SPC) provide the framework for management decisions in which data analysis play a pivotal role.

There is a focus on data science techniques as applied to sports datasets. Students will interpret outcomes of data analysis within the context of a sports calendar; identify provisions of the CBA and SPC; and gain an understanding of how the provisions impact decisions on team and roster management.

In this course, we will discuss the interplay of law, data analysis, and athlete representation using the athlete's career path trajectory as the focus. The intent is to introduce data analytical tools, laws, & regulations applicable to athlete representation throughout various stages of an athlete’s career. The primary focus is on athlete development and representation within the regulatory frameworks of federal and state laws and other pertinent rulemaking authorities, including pro sports unions.

This course is geared toward operating a multi-use, public facility, similar to Madison Square Garden (NYC), GIANTS Stadium (Sydney, AUS) and Utilita Arena Birmingham (UK). Multi-event arenas play host to sporting events, concerts, conferences, et al. and must be managed ethically and efficiently in order to be profitable and satisfy the millions of stakeholders served. This course will introduce topics such as contracts, sponsorship, security, insurance, public relations, broadcasting, media, fan engagement, and others that guide informed facility and management decision making.

Upon completion of the course, learners will be able to define a multi-event facility enterprise; describe several advantages of in-house and for-hire management operations; discuss how to use data to make informed management decisions; and list several key event management critical functions.