Overview

The Minor in Human Performance Data Analytics is an interdisciplinary program designed to equip students with the skills to interpret and apply data to optimize human performance. This program addresses the demand for professionals who can derive actionable insights from a wide spectrum of data, including physiological, biomechanical, and behavioral metrics. Students will move "beyond Moneyball," utilizing sophisticated analytical techniques and programming languages like Python, R, and SQL to uncover insights that shape training, mitigate injury risk, and enhance well-being. The curriculum combines core coursework in statistical programming, machine learning, and behavioral analytics with specialized electives in wearable technology and health data management. This minor provides a competitive advantage for students in fields such as sports administration, exercise science, athletes, rehabilitation, and physical therapy preparing them to become leaders in the rapidly evolving world of performance analytics.  Therefore, students in physical therapy, sports administration, applied physiology, and business would be particularly interested in this minor.

Curriculum Requirements

Foundational Core Course (3 credits):
EPS 402Statistical Programming: R, Python, and SQL for Social and Behavioral Data3
Core Course (9 credits):
EPS 403Applied Machine Learning in the Social and Behavioral Sciences3
EPS 406Moneyball and Beyond: Ethical and Responsible Sports Analytics3
or KIN 406 Moneyball and beyond: Ethical and Responsible Sports Analytics
EPS 407Behavioral Analytics and Research in Sport Industry3
or KIN 407 Behavioral Analytics and Research in Sport Industry
Elective Courses (Choose 3 credits total):3
Introduction to Sport Analytics
KIN 210
(Applied Technology for Human Performance and Sports Nutrition (NEW COURSE))
Healthcare Data, Remote Management, and the Future of Medicine ((NEW COURSE))
Healthcare Data, Remote Management, and the Future of Medicine
Total Credit Hours15

Notes. EPS351 or PSY291 or equivalent courses for introduction to statistics - this will be required to be successful in this minor.

Graduation Requirements

To successfully complete the DAISI Minor, students must meet the following graduation requirements:

  1. Credit Hours
    Completion of a minimum of 15 credit hours in approved coursework for the minor:

    • 3 credits in a foundation course

    • 9 credits in core courses

    • 3 credits from elective courses

  2. Grade Requirements

    • A minimum grade of C must be earned in each course counted toward the minor.

    • Students must achieve a minimum cumulative GPA of 3.0 across all minor coursework.

​​   3.  Integration with Major Program: Courses used to fulfill major requirements will not be double-counted toward the minor unless explicitly allowed by both programs.