English-taught
Winter semester intake

Data Science in Sports and Health (M.Sc.)

At a glance

Language: English-taught
Duration: 4 sem 120 ECTS
Intake: Winter semester
Tuition: €0 public university
Semester fee: €339.70

● Closed for this intake Non-EU applicants · Winter semester 15 May 2026 The window usually repeats next cycle; the full deadline table below shows every route and date.

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

English

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

not required

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	15 May 2026 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: €339.70
Semester ticket: included (Deutschland-Semesterticket)

€0 tuition. Semester contribution €339.70 for WS 2026/27, confirmed from a current TU Dortmund student payment. Includes the nationwide Deutschland-Semesterticket. For the latest figure verify at: https://www.stwdo.de and https://www.tu-dortmund.de/studium/organisation-des-studiums/semesterbeitrag/

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.

External resources

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