To be eligible for admission to the Graduate School at Marquette University, applicants must meet the following requirements:
The Sports and Exercise Analytics program can accomodate students from a wide variety of disciplies, including exercise science, kinesiology, anatomy and physiology, sports management, business management, computer science, data science, engineering and many other related disciplines.
Completion of the following coursework is required:
- Computer programming course (e.g. COSC 1010 Introduction to Software Development at Marquette).
- Statistics course (e.g. MATH 1700 Modern Elementary Statistics at Marquette).
- Course in exercise physiology, anatomy, or similar.
Contact the Graduate Admissions Counselor for this program for further clarification on any of these required courses.
Read all application instructions prior to beginning an application.
- A completed online application form and fee.
- A curriculum vitae including work history, formal education, continuing education, licensing and certification, professional organizations, honors and awards, publications, presentations and grants.
- A personal statement of no more than 500 words addressing your purpose for applying to the program, your ability to successfully complete the program and your goals (short and long term).
- Three letters of recommendation addressing the applicant’s academic, professional, clinical, personal attributes and potential for meaningful graduate study. At least one academic reference must be included.
- GRE scores. GRE scores are only required if degree GPA is below 3.000.
- For international applicants only: a minimum acceptable score on the iBT TOEFL exam of 90 overall, with minimum section scores of 25 for listening and speaking, and minimum scores of 20 for reading and writing, or other acceptable proof of English proficiency.
- Applicants may wish to submit one example of written work, such as a class project, course assignment, first author publication, grant application, etc. (optional).
- A virtual interview with the admissions committee may be needed.
1Upon admission, final official transcripts from all previously attended colleges/universities, with certified English translations if original language is not English, must be submitted to the Graduate School within the first five weeks of the term of admission or a hold preventing registration for future terms will be placed on the student’s record.
2Upon admission, an official course-by-course transcript/academic record evaluation must be submitted to the Graduate School within the first five weeks of the term of admission or a hold preventing registration for future terms will be placed on the student’s record.
Students begin their studies in the fall of each academic year. This program has rolling admission, which means you may apply and submit application materials any time before the following dates:
- Fall term admissions – August 1 (June 1 for international applicants)
Dr. Paula Papanek - Professor and Director of the Sports and Exercise Analytics Program
Paula Papanek is the founding director of the Sports and Exercise Analytics Program and the Exercise Science Program at Marquette University, teaching and training exercise physiologists for over 20 years. Her expertise and knowledge of sports and exercise data analytics will be critical to the success of this program. Her expertise in body composition and bone mineral physiology is linked to athletic injury and performance.
For more information on Dr. Papanek, please visit the Physical Therapy department page
Dr. Kristof Kipp - Associate Professor of Exercise Science
Kristof Kipp joined the Department of Physical Therapy Program in Exercise Science at Marquette University in the fall of 2011. He received a PhD in nutrition and exercise sciences with emphasis in biomechanics from Oregon State University and completed a post-doctoral research fellowship at the University of Michigan.
Dr. Kipp’s academic and research interests revolve around sports science and biomechanics. He also helps direct Marquette University’s Motion Analysis and Biomechanics Laboratory.
For more information on Dr. Kipp, please visit the Physical Therapy Department page
Dr. Matthew Hawkey - Clinical Associate Professor of Exercise Science
Matt Hawkey joined the Department of Physical Therapy, Sport and Exercise Science Analytics at Marquette University in the fall of 2022.
Matt has over 20 years of sport and performance analytics industry experience. He has served in a variety of roles built around the use of data analytics to help improve human performance. Hs experience spread across professional, collegiate, and youth sport and military domains includes serving as a data and sport scientist, director of performance and analysis, and coach. His PhD focused on providing a framework to support athlete selection in professional soccer. Utilizing a wide variety of technology and data sources, Matt’s applied focus and research primarily investigates how human performance data and sport analytics can best profile, monitor, and forecast athlete performance to improve organizational decision making.
For more information on Dr. Hawkey, please visit the Physical Therapy Department page
Dr. Walter Bialkowski - Assistant Professor of Practice
Dr. Bialkowski is trained as a clinical epidemiologist and translational data scientist. He first worked professionally as a Project and Program Manager in resuscitation research involving out-of-hospital cardiac arrest, traumatic brain injury, and hypovolemic shock clinical trials. He later moved into a Program Director role in the field of transfusion medicine and led several projects including observational and interventional clinical studies.
As an educator, Dr. Bialkowski prioritizes applied learning of data science skills. Students in his classes, and those involved in his research program, apply data science skills through individual assignment and project work. His courses engage with students across disciplines, including sports and exercise, criminal justice, accounting, healthcare, and many professional industries.
For more information on Dr. Bialkowski, please visit the Computer Science Department page
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
|Advanced Data Science
|Ethical and Social Implications of Data
|Business Analytics 1
|or COSC 6540
|Data at Scale 2
|or COSC 6060
|Parallel and Distributed Systems
|or COSC 6380
|Advanced Database Systems
|Advanced Exercise Physiology
|Advanced Applied Biomechanics in Injury Prevention and Performance
|Advanced Strength and Conditioning: Data Analytics
|Readings and Research in Sports and Exercise Analytics (taken once)
|Total Credit Hours
ADDITIONAL COURSE REQUIREMENTS PLAN A (THESIS)
|Total Credit Hours
ADDITIONAL COURSE REQUIREMENTS PLAN B (NON-THESIS)
|Project Design and Development in Sports and Exercise Analytics
|Professional Project in Sports and Exercise Analytics
|Total Credit Hours