The Certificate of Advanced Study (CAS) in sport analytics program requires 12 credit hours covering specific focus areas of sport analytics statistics and methods, visualization tools, programming in R and Python, use of databases and SQL, linear regression and econometric techniques, and machine learning tools. The courses use data and examples exclusively from the sports industry, both on the player/team performance and business aspects of the discipline. It comprises 4 core courses (12 credits) that all students are required to complete.
For admission, an applicant must hold a baccalaureate degree from a regionally accredited U.S. institution or a tertiary degree that is deemed to be comparable to a 4-year’s bachelor’s degree from a regionally accredited U.S. institution.
Qualified applicants should have successfully completed an undergraduate or graduate-level course in statistics or show significant experience using statistics in a professional capacity.
Applications will be submitted online and will include:
- Official transcripts from each institution attended.
- GPA and Test Scores - A GPA of 3.0 or higher on a 4.0 scale in undergraduate studies is required. GRE or GMAT are not required but could be submitted (if completed) on the student’s behalf.
Eligibility requirement: To be awarded a Certificate of Advanced Study (CAS), a student must be matriculated and active in the certificate program for at least one semester prior to graduating. Matriculation may not be backdated.
The Certificate of Advanced Study in Sport Analytics does not accept transfer credit.
The CAS in Sport Analytics is a part-time program. Students complete 12 sequential credits over the course of two semesters. Given the sequential nature of the 4 courses, delaying a sequence is highly discouraged and students must seek approval from the program director.
Graduate students must earn a minimum average of 3.000 for work comprising the program for the degree or certificate.
Total Credits Required