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Jun 05, 2026
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2026-2027 Undergraduate Bulletin
Applied Data Science in Sports and Human Performance, B.S.A.D.S.S.H.P.
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 Return to: College of Engineering and Computer Science
The B.S.A.D.S.S.H.P. program provides students with a foundational understanding and the ability to apply mathematical and scientific principles and techniques associated with data-centric inquiry in the sports and human performance domain. This includes a practical exposure to statistical methods for data analytics, engaging experiential learning with corresponding toolsets and methods. The curriculum has classes on topics such as data science, data curation, data visualization and database systems. A key feature is the practicum class, which allows students to apply their technical training in a real-world sport and human performance context.
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Tulsa Curriculum and First Year Experience
Core Curriculum and First Year Experience
General Curriculum
Some major required courses may be double counted to fulfill a quad requirement. Data Science Courses (27 hours)
Computer Science Courses (8 hours)
Mathematics Courses (10 hours)
Exercise and Sport Science Courses (7 hours)
Sports Business and Management Courses (15 hours)
Elective Courses (25 hours)
Applied Data Science in Sports and Human Performance Total: 120 hours required
To become a candidate for a degree in Applied Data Science in Sports and Human Performance, a student must complete all artificial intelligence courses in the curriculum with a grade-point average of at least 2.0 and earn a grade point average of 2.0 or higher overall. |
Return to: College of Engineering and Computer Science
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