# Data Science in Sports and Health (MSc) — TU Dortmund

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.

University: Technische Universität Dortmund (TU Dortmund University) (https://studygermany.dev/universities/tu-dortmund.md)
City: Dortmund (https://studygermany.dev/cities/dortmund.md)
HTML page: https://studygermany.dev/programmes/tu-dortmund-msc-data-science-in-sports-and-health/

## At a glance

- Degree: MSc
- Language of instruction: 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
- ECTS: 120
- Duration: 4 semesters
- Intake: Winter semester
- Tuition: €0 per semester (public university)
- Semester contribution: €321.48
- Semester ticket included: yes (Deutschland-Semesterticket)

Fee notes: University-wide: €0 tuition; €321.48 semester contribution confirmed for WS 2025/26, including the nationwide Deutschland-Semesterticket. A figure of ~€339.70 is in preparation for WS 2026/27.

## 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.

## Application deadlines

- Non-EU applicants, winter semester: 2026-05-15 — 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.

## How to apply

- uni-assist required: yes (see deadline notes for who exactly)
- Application portal: https://www.uni-assist.de
- Official programme page: https://sport.kmst.tu-dortmund.de/en/studies/degree-programs/master-data-science-in-sports-and-health/

## Focus areas

- Training & Movement Science
- Sports Biomechanics
- Sports Medicine
- Data Science methods

## Provenance

Last checked: 2026-07-04

- TU Dortmund — M.Sc. Data Science in Sports and Health: https://www.tu-dortmund.de/en/students/degree-programs/data-science-in-sports-and-health-926/
- TU Dortmund — Master enrollment requirements (central page): https://www.tu-dortmund.de/en/prospective-students/application-and-enrollment/enrollment-requirements/master-1-subject/
- Institute for Sport and Sport Science — M.Sc. Data Science in Sports and Health (programme site): https://sport.kmst.tu-dortmund.de/en/studies/degree-programs/master-data-science-in-sports-and-health/
- Institute for Sport and Sport Science — DSSH admission: https://sport.kmst.tu-dortmund.de/en/studies/degree-programs/master-data-science-in-sports-and-health/dssh-admission/
- DSSH Module Handbook (ECTS totals: 27+33+30+30 = 120): https://sport.kmst.tu-dortmund.de/storages/sport-kmst/r/Dokumente_und_Grafiken/Studiengaenge/Master_Data_Science_in_Sports_and_Health/Module_Handbook_Master_DSSH.pdf