Data Science
Summary
Master of Science (M.Sc.)
4 semesters
Winter semester
Summer semester
English
What is it about?
Are you interested in how companies use huge amounts of data to identify trends, and would you like to manage such data projects yourself?
Are you fascinated by how language and texts are processed by machines and want to understand how chatbots or language models work?
Do you want to work in future-oriented industries such as AI, robotics, or big data, and need the expertise to get started?
Interest sparked?
In this degree program, students work with topics such as:
- fundamentals of methodological statistics (statistical theory)
- advanced data modeling techniques (advanced statistical learning, statistical learning for big data)
- special events on artificial intelligence (deep learning, natural language processing, reinforcement learning, data visualization)
- practical projects (working with real, relevant data sets, scientific presentation and communication of results)
Why study Data Science?
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How do I get into the Master's program?
To gain admission and enroll in a Master’s degree program, applicants must meet the required access criteria. For the M.Sc. Data Science, there is a step-by-step guide that explains how to apply.
Students apply and enroll through the Campusportal. Deadlines vary depending on the according Master’s degree program.
If you are an international applicant, please make sure to check the deadlines and application requirements provided by the International Office.
What can I expect during my studies?
The program is organized into a series of modules designed to build on one another throughout your studies. Students are encouraged to follow the recommended study plan, which outlines the modules assigned to each semester.
The structure of each module can be reviewed in the module manual. It provides detailed information on all modules offered within the degree program, including course content, examination formats and requirements, as well as requirements for participation.
What’s next after graduation?
I work, e.g.,
- in banks and insurance companies
- in the pharmaceutical industry
- in tech companies, AI research
- in research and science
- everywhere data is generated
I work as, e.g.,
- data scientist
- AI engineer
- business intelligence analyst
- research scientist
- statistical consultant
After earning a Master’s degree, graduates can explore various career paths—from directly entering the workforce to pursuing a Ph.D. or an additional Master’s degree program to expand their knowledge and follow personal interests.
The Career Service at TU Dortmund University helps students and alumni to develop their professional profiles, gain hands‑on experience, connect with employers, and build successful application strategies for starting their careers.
Students who wish to pursue an academic career can find comprehensive information and personalized advising at the Graduate Center of TU Dortmund University.
Social media & more:
Who can help me?
Departmental Advisory Service
For general questions about degree programs and studying at TU Dortmund University, you can contact the Central Student Advisory Service for support:
E-mail: zsb@tu-dortmund.de
Information hotline for initial inquiries: +49 231 755 2345
What does everyday student life actually look like? And what do students say about their degree program? For a student perspective, you can contact the student representatives (Fachschaft) of the subject.
Important Information
Good to know!
- Semester contribution Summer semester 2026: 321,00 €
- Studierendenwerk Dortmund: Student residences and BAföG
- International Office: Options for going abroad
