Program Director: Paula E. Papanek, Ph.D., P.T., L.A.T., A.T.C., FACSM
Sports and Exercise Analytics website
Degree Offered
Master of Science
Department of Physical Therapy Mission
To prepare future health care practitioners and researchers with an education rich in clinical experiences, community outreach, and research opportunities to develop leaders guided by the values of “Cura Personalis.”
Program Description
The sports and exercise analytics (SPRT) master’s degree is offered through the program in exercise science, within the Department of Physical Therapy. This degree provides a synergistic intersection between exercise physiology (EXPH) and computer science (COSC). Graduates of the sports and exercise analytics master of science program will have the analytic skills to develop new applications and interfaces for large and complex sport and human performance datasets combined with foundational knowledge in exercise/sport physiology by which to aid in the interpretation and translation of the results to consumers, end users and clients.
Learning Outcomes
Upon completion of the master of science in sports and exercise analytics (SPRT), a student will be able to:
- Articulate changes, trends and implications using analytics tools that can be ethically addressed across data platforms.
- Design and implement strategies for analyzing data using appropriate methods, tools and datasets.
- Analyze data to create actionable information, and use it to establish priorities, make decisions and solve problems aligning with the ethics, needs and values of individuals, communities and stakeholders.
- Display and explain the results of analytics projects using effective written, graphic and verbal tools and techniques.
- Use advanced data processing tools incorporating regulatory, data governance, master data management, data profiling, parallel and distributed processing best practices.
- Manage data analytics projects and teams throughout the analytics lifecycle.
- Interpret and translate sports and exercise performance data for targeted consumers (private, public).
Academic Standards
A cumulative GPA of 3.000 is required in the sports and exercise analytics program. The Policies tab describes the criteria and procedures for academic warnings, probation, removal of probation and dismissal. The sports and exercise analytics program strictly follows these policies and procedures.
Sports and Exercise Analytics Master of Science
The master of science in sports and exercise analytics requires a minimum of 33 credit hours. If a student is admitted with prerequisite deficiencies, completion of prerequisite courses does not apply toward master degree requirements. The program of course work and research is determined in consultation with the student's adviser.
Thesis OPTION (Plan A)
The master's student in Plan A must complete the required courses in data science (15 credits), the required courses in human performance/exercise physiology (12 credits) and 6 credits of thesis, for a total of 33 credits.
Non-Thesis OPTION (Plan B)
The master's student in Plan B must complete the required courses in data science (15 credits), the required courses in human performance/exercise physiology plus electives (15 credits) and 3 credits of project, for a total of 33 credits.
Required Course Work for Plan A and Plan B
Course List | Code | Title | Hours |
| |
| COSC 5500 | Visual Analytics | 3 |
| COSC 6510 | Data Intelligence | 3 |
| COSC 6520 | Data Analytics | 3 |
| COSC 6570 | Data at Scale | 3 |
| COSC 6820 | Data Ethics | 3 |
| |
| EXPH 5192 | Advanced Exercise Physiology | 3 |
| SPRT 6110 | Advanced Applied Biomechanics in Injury Prevention and Performance | 3 |
| SPRT 6190 | Advanced Strength and Conditioning: Data Analytics | 3 |
| SPRT 6958 | Readings and Research in Sports and Exercise Analytics (taken once) | 0 |
| 0 |
| 9 |
| Total Credit Hours: | 33 |
Additional Course Requirements Plan A (Thesis)
Course List | Code | Title | Hours |
| 3 |
| SPRT 6999 | Master's Thesis | 6 |
| Total Credit Hours: | 9 |
Additional Course Requirements Plan B (non-Thesis)
Course List | Code | Title | Hours |
| 6 |
| SPRT 6600 | Project Design and Development in Sports and Exercise Analytics | 1 |
| SPRT 6998 | Professional Project in Sport and Exercise Analytics | 2 |
| Total Credit Hours: | 9 |
MASTER'S DEGREE WITH THE DATA SCIENCE CERTIFICATE
The Department of Computer Science offers a data science certificate. If a sports and exercise analytics master's student chooses to also earn the certificate, admission to both programs may be concurrent. The same courses may be used to satisfy the requirements of the master’s program and certificate, as outlined in the university bulletin for each program. Students are expected to be admitted into all programs they intend to complete, although course work completed prior to admission may be allowed to apply toward program requirements.
Students who are dually enrolled in the master’s and the data science certificate may enroll in a secondary master’s that also accepts the data science certificate and complete the remaining requirements for that degree.
Details on the data science certificate can be found in this bulletin.
