Data Science in Sports and Health (MSc)

at TU Dortmund in Dortmund

At a glance

Degree
MSc
Language
English
English requirement
CEFR B2 ('proof of good English language skills equivalent to at least level B2', per the official DSSH admission page).No specific IELTS/TOEFL score stated.
German requirement
not required
Credits
120 ECTS
Duration
4 semesters (2 years)
Intake
Winter semester
Tuition
€0 (public university)

Focus areas: Training & Movement Science · Sports Biomechanics · Sports Medicine · Data Science methods

An interdisciplinary, English-taught Master applying data-science methods to sports and health science, complementing the Faculty of Statistics' Data Science Master. It focuses on multivariate analysis of large datasets, statistical and machine-learning techniques, performance diagnostics and physiological adaptation, delivered through lab work and a small-group research project, concluding with an internship and thesis. Run jointly by the Department of Arts and Sports Sciences and the Department of Statistics; a qualifying examination (Eignungsprüfung) must be passed before applying.

⚠ Entrance exam required BEFORE you can apply. This programme has a qualifying examination (Eignungsprüfung) that must be passed before submitting an application. Its registration date falls months before the application deadline; check the official programme page for the next exam dates.

Admission requirements

Prior degree
Qualified Bachelor in sports science, statistics, mathematics, computer science, data science or a closely related field
Minimum grade
2.5 ('good', German scale), per the official DSSH admission page
Prerequisite credits
  • ≥44 ECTS total across computer science, statistics and mathematics
  • ≥8 ECTS computer science
  • ≥8 ECTS mathematics
  • ≥4 ECTS statistics
Also required
Entrance examination covering Training & Movement Science, Sports Biomechanics, Sports Medicine and Data Science; CV, letter of motivation and a 10-page statistical project report required. English B2.

Deadlines & timeline

Deadlines differ by where your degree is from. Dates change every cycle, so always confirm on the official page before planning. Where no fixed calendar date exists or none is confirmed yet, the Details column explains each case.
Who Intake Deadline Details
Non-EU applicants Winter semester closed for this intake; next cycle usually repeats the same window Application period approx. mid-March to 15 May, via uni-assist / International Office; the programme admits once a year, winter only. Year-anchored for WS 2026/27: 15 May 2026. A qualifying examination (Eignungsprüfung) must be passed BEFORE applying: the WS 2026/27 late examination ran 13–19 April (registration by 6 April).
EU / German-degree applicants Winter semester no fixed date EU applicants apply via the International Office; deadline is the Friday before the start of lectures. Window language, not year-anchored. Applicants within Germany / already enrolled use the TU Dortmund campus portal.

Fees & funding

Tuition
€0 per semester
Semester contribution
€321.48
Semester ticket
included (Deutschland-Semesterticket)

University-wide: €0 tuition; €321.48 semester contribution last verified for WS 2025/26, including the nationwide Deutschland-Semesterticket. The WS 2026/27 amount is not yet published by TU Dortmund and is to be confirmed (the Studierendenwerk component is €97; the Deutschland-Semesterticket price rise suggests a moderate increase).

Scholarships are listed per university: see TU Dortmund scholarships.

How to apply

uni-assist
required (the deadline table shows who this applies to)
Application portal
www.uni-assist.de
Official page
sport.kmst.tu-dortmund.de

EU applicants and holders of German degrees usually apply directly via the university's Campusportal instead of uni-assist; the deadline table above says which route applies to you.

What students say

No credible independent reviews found yet for this programme. We only publish reviews we can source: how we aggregate reviews.

Where graduates go

Typical roles
Data-science roles in sports and health science and cross-disciplinary research (official programme page, aspirational) (source)

No official placement statistics exist for this programme; these are directions described by the university, not measured rates.