Overview

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Athletes, lawyers and team executive experts provide insight in how law and regulations intersect with data analytics and sports management techniques for best practices in the sports industry. Several courses provide the basis for how data analytics function within player evaluation, team performance, and roster management. The specialization introduces various regulatory, managerial and legal frameworks that includes athlete representation, facilities, and event management and conclude with various jobs available in sectors of the sports industry.

Syllabus

Course 1: Data Analytics in Sports Law and Team Management
- Offered by The State University of New York. This course provides an introduction to the fundamental ideas in applying data analytics to ... Enroll for free.

Course 2: Player Evaluation, Team Performance and Roster Management
- Offered by The State University of New York. This course will provide students with an introduction to using specific data techniques to ... Enroll for free.

Course 3: Analytics, Law, and Athlete Representation
- Offered by The State University of New York. In this course, we will discuss the interplay of law, data analysis, and athlete representation ... Enroll for free.

Course 4: Multi-Event Facility Enterprises & Management
- Offered by The State University of New York. This course is geared toward operating a multi-use, public facility, similar to Madison Square ... Enroll for free.

Courses

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9 hours 12 minutes
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This course provides an introduction to the fundamental ideas in applying data analytics to issues surrounding key regulatory and management functions within the sports industry. Sports as an industry is increasingly relying on data analytics for more effective deployment of resources and assessment of performance in areas ranging from player productivity to fan engagement, talent identification and development, coaching, sponsorship, and marketing. This course and its successors will help you understand this new role of data analysis in the sports business.
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15 hours 33 minutes
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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.
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10 hours 56 minutes
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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.
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6 hours 9 minutes
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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.