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Master

Data Science in Sports and Health

Summary

Degree
Master of Science (M.Sc.)
Standard program duration
4 semesters
Start of studies
Winter semester
Language
English
Admission
admission-free (no NC)
Enrollment requirements

Yes (go to the overview)

© Roland Baege

What is it about?

How can data analysis contribute to performance assessment and training optimization in elite sports?

In what ways does machine learning enhance preventive healthcare?

What ethical and data protection challenges arise from the use of Data Science in sports and health contexts?

Interest sparked?

In this degree program, students work with topics such as:

  • sports medicine
  • health sciences
  • movement sciences in theory and practice
  • interdisciplinary communication skills
  • proficiency in data analysis and scientific expertise

How do I get into the Master's program?

To gain admission and enroll in a Master’s degree program, applicants must meet the required access criteria. For the M.Sc. Data Science in Sports and Health, there is a step-by-step guide that explains how to apply.

More about the admission process in M.Sc. Data Science in Sports and Health

Students apply and enroll through the Campusportal. Deadlines vary depending on the according Master’s degree program.

Campusportal

Deadlines

If you are an international applicant, please make sure to check the deadlines and application requirements provided by the International Office.

What can I expect during my studies?

The structure of each module can be reviewed in the module manual. It provides detailed information on all modules offered within the degree program, including course content, examination formats and requirements, as well as requirements for participation.

Module Manual of M.Sc. Data Science in Sports and Health

The following specializations are offered in this Master's degree program: 

  • advanced sports medicine, movement & training science
  • sports science and data science
Students sitting in a lecture in the lecture hall. © Oliver Schaper​/​TU Dortmund

What’s next after graduation?

I work, e.g.,

  • in sports/medical/health industry
  • in academia
  • in private, medical and health services
  • in public sector (e.g., insurance companies), and sports institutions

I work as, e.g.,

  • data scientist/data analyst in the health, sports, or fitness industry
  • sports data analyst at professional teams, associations, or high-performance training centers
  • health data manager in hospitals, health insurance providers, or research institutions
  • research scientist in prevention, rehabilitation, or public health projects

After earning a Master’s degree, graduates can explore various career paths—from directly entering the workforce to pursuing a Ph.D. or an additional Master’s degree program to expand their knowledge and follow personal interests.

The Career Service at TU Dortmund University helps students and alumni to develop their professional profiles, gain hands‑on experience, connect with employers, and build successful application strategies for starting their careers.

Career Service

Students who wish to pursue an academic career can find comprehensive information and personalized advising at the Graduate Center of TU Dortmund University.

Go to Graduate Center

Social media & more:

Who can help me?

Departmental Advisory Service

© Christina Schulz​/​TU Dortmund

For general questions about degree programs and studying at TU Dortmund University, you can contact the Central Student Advisory Service for support:

E-mail: zsb@tu-dortmund.de

Information hotline for initial inquiries: +49 231 755 2345

Office Hours at a glance

A group picture of students in a seminar room with the TU Dortmund logo. © Aliona Kardash​/​TU Dortmund

What does everyday student life actually look like? And what do students say about their degree program?  For a student perspective, you can contact the student representatives (Fachschaft) of the subject.

E-mail to ‘Fachschaft Sport’

‘Fachschaft Sport’ on Instagram

Important Information

Good to know!