Program Duration: 2 years
Full-time option: Yes | Part-time option: Yes
Hybrid Program with on-campus and online
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Data analytics is transforming the world of sports and exercise. The Master of Science in Sports and Exercise Analytics at Marquette University intersects physiology and biomechanics with data science to address specific questions regarding elite athletic, sport, exercise and human performance.
Graduates will have the analytic skills to develop new applications and interfaces for large and complex sport and human performance datasets combined with the foundational knowledge in exercise and sport physiology by which to aid in the accurate interpretation and translation of results to consumers, end users, and clients.
The goal of this program will be to train sports and exercise data analysts to:
Students are prepared to pursue careers in sport and exercise performance data science, including positions in:
Hands-on Experience with Marquette Athletics
The program intersects with Marquette Athletics and their staff to address specific questions regarding elite athletic performance with our faculty as experts to assist in those measurements but most importantly their interpretation. Students work with real data sets from research laboratories, Marquette athletes and other large data sets including kinetics and kinematic data, performance data, physiologic data which provides a rich learning environment with ample opportunities to network with prospective stakeholders. Students will also be trained in systems currently being used at Marquette such as Dexalytics and Catapult.
Graduates will be uniquely qualified to meet the challenges we face in analysis, management, and use of large data sets and trained in the ethical considerations of collecting, managing and analyzing large data sets to make human performance decisions. This program is timely as the National Institute of Health has identified a lack of tools, and insufficient training in data science as an impediment to rapid translation of impact, decreasing our ability to advance the understanding of human health and disease.
Ready to learn more about Marquette's Sports and Exercise Analytics graduate program?
phone: (414) 288-7139
This program has rolling admissions, which means you may apply any time before the following dates:
Your application must be complete and all required documentation must be received in the Graduate School by the above date.
* Upon 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.
Paula Papanek is the founding director of the Program of Exercise Science in the Department of Exercise Science 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. 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.
Shion is the assistant professor at the Department of Mathematics, Statistics and Computer Science at Marquette University and also holds an administrative position as the Director of Data Science and participates in the Cognitive Science program. He has received a PhD from Cornell University under Steve Wicker and a MS from the Indian Statistical Institute under BS Daya Sagar.