Teaching

Sports Analytics as the Intersection of Sports Science, Computer Science and Statistics
© Chair of Sports Analytics Saarland University

Our Philosophy

The Department of Sports Analytics sits at the dynamic cross-section of Informatics, Mathematics, and Sports Science. We're dedicated to training the next generation of sports professionals who can bridge the gap between complex data and real-world athletic problems.

In our courses, we focus on teaching students how to analyze sport using rigorous quantitative methods and educate data-literate sports scientists. We focus on developing the skills to manage, process, and interpret large-scale datasets, transforming them into strategic advantages for athletes, teams, and organizations.

Through a curriculum that blends statistical theory, programming, and deep sports knowledge, we ensure our graduates are equipped not only to understand the demands of sport but to use data as a fundamental tool for observation, evaluation, and innovation.

 

Theses in Sports Analytics

Students interested in sports analytics are welcome to reach out regarding theses. Please send your CV, a transcript of records, your preferred sport and/or broader topic, or, if available, a proposal describing the scope of your thesis in 1-2 sentences (including references) to the email below. Please use the e-mail subject “Thesis Request Sports Analytics | Your Name | Desired Start of the Thesis”.
Based on your information, we will provide a list of potential thesis topics or feedback on your submitted proposal.
For all theses, at least a basic motivation to implement code (e.g., in Python or R) is desirable. Interdisciplinary projects, such as those involving the faculties of computer science and mathematics, are encouraged.
Students interested in writing a thesis are encouraged to join the reading group (see below) to gain a better understanding of potential research topics.

E-Mail

Courses

Winter Term 2025/26

Jun-Prof. Pascal Bauer

  • I30300 Performance Analysis and Data Science (Master High Performance Sport): Link
  • 11121 Evaluation von Individual- und Sozialverhalten (Bachelor Sportwissenschaften): Link

Abdelrahman Abdelsamad

  • 8802 Coding Internship and Data Analysis (Master Higher Performance Sport): Link
  • l10010 Advanced Statistics (Master High Performance Sport; co-teaching with PD Werner Pitsch): Link

Luis Holzhauer

  • 10111 Recherchieren und Präsentieren (Bachelor Sportwissenschaften): Link
  • G1010 Statistik (Master Gesundheitssport; co-teaching with PD Werner Pitsch): Link

Summer Term 2025

Jun-Prof. Pascal Bauer

  • 15623­Tischtennis: Link
  • 11123 Messen, Beobachten und Bewerten in Sportarten und Bewegungsfeldern

Winter Term 2024/25

Jun-Prof. Pascal Bauer

  • 10111 Recherchieren und Präsentieren (Bachelor Sportwissenschaften)
  • 11121 Evaluation von Individual- und Sozialverhalten (Bachelor Sportwissenschaften): Link