Sport Performance Data Analytics Role
Program Component Name
Sport Performance Data Analytics
Term
Fall 2026
This program opportunity expands on the current efforts offered to undergraduate students enrolled in U-M School of Information (UMSI)courses, i.e., SI 311 and SI 491.
This program component selection is managed through the UM SI. Students need to meet prerequisites and qualifications as established by UM SI to be considered for this opportunity and/or participation in the course.
In fall terms, UMSI offers Sports Analytics. SI 311, a seminar-style course introduces students to the use of data analytic techniques in the context of understanding sports outcomes, and specifically the use of analytics in the NCAA and pro leagues.
In SI 311, once students meet U-M SI requisite criteria and selection process, students will be assigned to U-M teams in order to help coaches, trainers and student-athletes gain insights to provide competitive advantage against Michigan’s opponents, to improve student-athlete well-being, and to reduce student-athlete injuries.
U-M SI 491 is an independent study course option at the undergraduate level and involves writing a substantial research paper or research. Students need to meet U-M SI requisite criteria and selection process to enroll.
These U-M SI students will be paired with a new experiential offering for qualified students interested in applied sport science technology through the HPSSC Applied Sport Science Technology Assistant position.
Additionally, Athlete Innovation Initiative faculty and staff develop in partnership with Michigan Athletics, opportunities to enhance student-athlete performance through actionable insights derived from strength and conditioning, or other performance-based training data. These opportunities may provide the following:
- data to ensure timely and accurate visualization and analytics
- customizable dashboard tools to highlight key performance indicators
- integration of analytical approaches to generate evidence-based insights for coaches and student-athletes
- automated coaching report tools
- sustainable analytical methodologies and comprehensive support documentation for future Sports Analyst Assistants
Sport Performance Data Analytics
FA’26 SI 311 Course – Sport Analytics with Michigan Athletics Team Placement
Course Details:
- Mason Hall 2448
- Mondays, 10:00 am -11:00 am
This seminar-style undergraduate course introduces students to the use of data analytic techniques in the context of understanding sports outcomes and athlete performance.
In SI 311, students will be assigned to U-M teams in order to help coaches, trainers and student-athletes gain insights to provide competitive advantage against Michigan’s opponents, to improve student-athlete well-being, and to reduce student-athlete injuries.
Students learn and execute best practices data collection (i.e., privacy and storage), data analysis, and interpretation, with particular emphasis on cross-disciplinary communication among student teams, coaching and training staff communication, and other related members of the HPSSC faculty and the University of Michigan Performance support teams.
Based on current structures, we anticipate initial placement of approximately 13 students during the fall SI 311 course in this role with the capacity to rapidly expand independently of the course depending on growing athletic team opportunities.
Students have the opportunity to continue in these roles beyond the term of the course or term of engagement with Athletics and HPSSC approval.
Application and Review Timeline
Applications are due by Wednesday, March 25, 2026. Access the application by this link, https://tinyurl.com/SI311-application.
Review of applications begins on Thursday, March 26
Acceptances are emailed directly to you by Sunday, March 29
Learn about the SI 311 course with Drs. Tom Finholt and John Chase!
Questions about the HPSSC Athlete Innovation Initiative?
For further inquiries, email [email protected].