Sports and Exercise Analytics, MS
Program Directors: Kristof Kipp, Ph.D.; Danilo Tolusso, Ph.D.
Sports and Exercise Analytics website
Degree Offered
Master of Science
Department of Physical Therapy Mission
The Department of Physical Therapy prepares future health care practitioners and researchers with a transformative education rich in clinical experiences, community outreach, and research opportunities to develop leaders guided by the core Catholic, Jesuit values of Cura Personalis and Cura Apostolica.
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:
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Demonstrate foundational knowledge of human performance science and its application to sport.
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Compile, manage, and analyze sport and health datasets using rigorous and reproducible methods.
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Implement evidence-based sport science and strength and conditioning practices in applied performance environments.
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Synthesize, communicate, and execute sport science insights to support decision-making in multidisciplinary performance environments.
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.
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
| Code | Title | Hours |
|---|---|---|
| Data Science Courses | ||
| 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 |
| Human Performance/Exercise Physiology Courses | ||
| 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 |
| GRAD 9953 Seminar in the Responsible Conduct of Research | 0 | |
| Plan A (Thesis) or Plan B (Non-thesis) - refer to requirements below. | 9 | |
| Total Credit Hours: | 33 | |
PLAN A: Thesis Option
| Code | Title | Hours |
|---|---|---|
| Elective (see Elective Options) | 3 | |
| SPRT 6999 | Master's Thesis | 6 |
| Total Credit Hours: | 9 | |
Plan B: Non-Thesis Option
| Code | Title | Hours |
|---|---|---|
| Electives (see Elective Options below) | 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 | |
ELECTIVE OPTIONS
Suggested elective course options are listed below. Other graduate-level courses (5000 level or higher) across the university may be taken with approval of the director of graduate studies.
| Code | Title | Hours |
|---|---|---|
| BIEN 6450 | Musculoskeletal Biomechanics 1 | 3 |
| COSC 5600 | Fundamentals of Artificial Intelligence | 3 |
| COSC 5610 | Data Mining and Machine Learning | 3 |
| COSC 5800 | Principles of Database Systems | 3 |
| COSC 5931 | Topics in Computer Science | 1-3 |
| COSC 6390 | Professional Seminar in Computing (depending on topic) | 1 |
| COSC 6931 | Topics in Computer Science | 3 |
| COSC 6995 | Independent Study in Computer Science | 1-6 |
| EXPH 5195 | Advanced Exercise Physiology Laboratory | 1 |
| EXPH 7189 | Nutrition and Exercise Performance | 4 |
| EXRS 6931 | Topics in Exercise and Rehabilitation Science | 1-3 |
| MSSC 5730 | Introduction to R for Statistics and Data Science | 1 |
| MSSC 5740 | Biostatistical Methods and Models | 3 |
| SPRT 6931 | Topics in Sports and Exercise Analytics | 1-3 |
| SPRT 6995 | Independent Study in Sports and Exercise Analytics | 1-3 |
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.
ACCELERATED BACHELOR'S-MASTER'S DEGREE PROGRAM
The accelerated degree program (ADP) is available to students in any undergraduate major provided they possess the appropriate background preparation for the program. Specific majors that may include the necessary background include exercise physiology, biomedical sciences, data analytics and biomedical engineering.
Students with a GPA of 3.000 or above may apply for admission to the five-year program during their junior year. Students must submit an application to the Graduate School, indicate their interest in the five-year SPRT-ADP program, and meet all other admission criteria as stated in the Application Requirements section on the Graduate School's ADP webpage.
ADP students complete graduate course work during their undergraduate senior year, which may be applied toward completion of the master of science degree with appropriate approvals. Courses are selected from 5000-level, 6000-level and 7000-level graduate courses based on the student's academic background and with approval from the director of graduate studies. A maximum of 13 credit hours (40%) of graduate course work completed as an undergraduate can apply towards both an undergraduate degree and graduate degree. Note, however, that an additional 3 graduate credits can be taken as an undergraduate (16 total credits for <50%) granted these credits apply only towards the graduate degree and do not count towards the student’s undergraduate degree.
University Policies
- Academic Censure - Graduate School
- Academic Integrity
- Academic Misconduct
- Academic Program Definitions
- Accelerated Degree Programs
- Attendance - Graduate School
- Awarding Diplomas and Certificates
- Background Checks, Drug Testing
- Class Rank
- Commencement
- Course Levels
- Credit Hour
- Credit Load - Graduate School
- Faculty Grading
- Family Education Rights and Privacy Act-FERPA
- Grade Appeals
- Grading System - Graduate School and Graduate School of Management
- Graduation - Graduate School
- Immunization and Tuberculosis Screening Requirements
- Last Date of Attendance/Activity
- Military Call to Active Duty or Training
- Registration - Graduate School
- Repeated Courses - Graduate School
- Student Consumer Complaints
- Student Data Use and Privacy
- Transcripts-Official
- Transfer Course Credit - Graduate School
- Withdrawal - Graduate School
Graduate School Policies
- Academic Performance
- Advising
- Certificate Concurrent Enrollment
- Comprehensive and Doctoral Qualifying Examination Appeal Policy
- Conduct
- Confidentiality of Proprietary Information
- Continuous Enrollment
- Courses and Prerequisites
- Cross-listed Courses
- Deadlines
- Doctoral Degree Academic Program Overview
- Dual/Joint Programs of Study
- Graduate Credit
- Graduate School Policies
- Independent Study
- Intellectual Property
- Master's Degree Academic Program Overview
- Merit-Based Aid Registration Requirements
- Research Involving Humans, Animals, Radioisotopes or Recombinant DNA/Transgenic Organisms
- Temporary Withdrawal from Graduate Program
- Time Limitations
- Working with Minors