# Data Science (MSc) — TU Dortmund

A mathematically rigorous, English-taught two-year research Master run jointly by the Faculties of Statistics, Computer Science and Mathematics, building on the German-taught BSc Data Science. It covers statistical theory, statistical learning, big-data methods and AI topics (deep learning, NLP, reinforcement learning), with case studies and a thesis.

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/

## At a glance

- Degree: MSc
- Language of instruction: English
- English requirement: CEFR B2 minimum. Accepted proof: German Abitur (English from grade 5/7), an internationally recognised certificate, or a medium-of-instruction certificate. No specific IELTS/TOEFL score stated on the official page.
- German requirement: not required
- ECTS: 120
- Duration: 4 semesters
- Intake: Winter & summer
- 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: BSc Data Science (TU Dortmund) or a comparable German/foreign degree assessed as informatics-, statistics- or mathematics-oriented
- Minimum grade: 2.7 (German scale)
- Prerequisite credits: ≥44 ECTS total across mathematics, computer science and statistics; ≥8 ECTS computer science (algorithms, data structures, OOP, software engineering); ≥16 ECTS mathematics (analysis, linear algebra, differential equations, discrete maths, numerics); ≥4 ECTS statistics
- Also required: Mandatory online self-assessment and self-disclosure; statistical report demonstrating special aptitude (waived for TU Dortmund BSc Data Science graduates). Not admission-restricted (no numerus fixus).

## Application deadlines

- Non-EU applicants, winter semester: 2026-06-15 — Regular window early January – 15 May; extended to 15 June for WS 2026/27. Via International Office / uni-assist.
- Non-EU applicants, summer semester: no fixed date — Annual window early November – 15 January. Via International Office / uni-assist.
- EU / German-degree applicants, winter semester: no fixed date — EU applicants and holders of German degrees: up to the Friday before lectures start, via Campusportal; early application recommended.
- EU / German-degree applicants, summer semester: no fixed date — EU applicants and holders of German degrees: up to the Friday before lectures start, via Campusportal; early application recommended.

## How to apply

- uni-assist required: yes (see deadline notes for who exactly)
- Application portal: https://www.uni-assist.de
- Official programme page: https://statistik.tu-dortmund.de/en/studies/degrees/data-science-msc/

## Focus areas

- Advanced statistical learning
- Statistical learning for big data
- AI (deep learning, NLP, reinforcement learning, data visualization)
- Practical projects / case studies

## Provenance

Last checked: 2026-07-03

- TU Dortmund Faculty of Statistics — M.Sc. Data Science: https://statistik.tu-dortmund.de/en/studies/degrees/data-science-msc/
- TU Dortmund Faculty of Statistics — M.Sc. Data Science admission: https://statistik.tu-dortmund.de/en/studies/degrees/data-science-msc/admission/
- DAAD International Programmes — Data Science (TU Dortmund): https://www2.daad.de/deutschland/studienangebote/international-programmes/en/detail/8951/