Data Science
TU Dortmund University
Degree
Master of Science
Language
English
Tuition
Free
Duration
4 semesters
Programme Overview
This master's programme combines computer science, statistics, and mathematics for advanced training in data science. It includes analytical, methodological, and application-oriented work and requires a programme-specific statistical report and self-assessment components during application.
Admission Requirements
- Academic requirements
You must do our self assessment test and fill out our self disclosure document. You have to work on the statistic project published on our website and submit a report of 10 pages. Admission is based on the quality of the report.
- Minimum GPA
- overall grade 2.7 or better
- English requirements
- Proof of competencies in English at least at CEFR level B2 is required.
- German requirements
- German language skills are not required for the programme.
- Accepted bachelor fields
- Admission requires a bachelor's degree in Data Science from TU Dortmund University or a degree of at least three years in a computer-science-, statistics-, or mathematics-oriented programme. A programme is considered computer-science-, statistics-, or mathematics-oriented if it contains at least 44 ECTS across those three areas, including at least 8 ECTS each in computer science and mathematics and 4 ECTS in statistics.
- APS Certificate
- Yes
- Thesis required
- Yes
- Mandatory internship
- No
Costs & Funding
- Tuition fee
- None
- Semester contribution
- 321.00 EUR per semester (summer semester 2026 official semester contribution).
- ECTS credits
- 120
- Funding info
Tuition: None Semester contribution: 321.00 EUR per semester (summer semester 2026 official semester contribution).
Career Outcomes
Graduates are prepared for advanced data-science work in research and industry, especially where statistical analysis, mathematical modeling, and computational methods are combined in interdisciplinary applications.
Typical job roles
Target industries
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Programme details
- Degree
- Master of Science
- Language
- English
- Duration
- 4 semesters
- Mode
- full-time
- Start
- Summer semester
- App. Window
- 01 January → Rolling (annual)
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