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Technische Universität Dortmund
Master English Mathematics & Natural Sciences

Master of Science in Data ScienceData Science

Master

Technische Universität Dortmund Dortmund · North Rhine-Westphalia

About the Program

The two-year Master's programme in Data Science is built on the Data Science BSc programme and can be started in either the summer or winter semester. It is a joint project of the Departments of Statistics, Computer Science and Mathematics. As the tasks are always rapidly changing in this research field, the study programme provides a sound statistical and mathematical theory and teaches contemporary methods and knowledge. Hence, the students learn to be capable of doing scientific research. They develop scientific awareness and can use it responsibly. The interdisciplinary ability to communicate about methods and their applications, especially at the interface between statistics, computer science, mathematics and fields of application, is a key aspect of the study programme. Our programme builds on our six-semester Bachelor's in Data Science (taught in German). Unlike many other MSc Data Science programmes that devote the first semester to revisiting foundational topics in mathematics, statistics, and computer science, we do not offer a dedicated review semester. This is because our students join the programme with a strong background from our Bachelor's curriculum. As a result, we expect incoming students to have solid prior knowledge. If you find gaps in your understanding, it is your responsibility to address them independently. The advantage of this approach is that we can focus more of the programme on specialised Master’s-level content. Our curriculum places particular emphasis on advanced statistics, with a strong focus on the development of underlying statistical theory.
▶ Show the original English text
The two-year Master's programme in Data Science is built on the Data Science BSc programme and can be started in either the summer or winter semester. It is a joint project of the Departments of Statistics, Computer Science and Mathematics. As the tasks are always rapidly changing in this research field, the study programme provides a sound statistical and mathematical theory and teaches contemporary methods and knowledge. Hence, the students learn to be capable of doing scientific research. They develop scientific awareness and can use it responsibly. The interdisciplinary ability to communicate about methods and their applications, especially at the interface between statistics, computer science, mathematics and fields of application, is a key aspect of the study programme. Our programme builds on our six-semester Bachelor's in Data Science (taught in German). Unlike many other MSc Data Science programmes that devote the first semester to revisiting foundational topics in mathematics, statistics, and computer science, we do not offer a dedicated review semester. This is because our students join the programme with a strong background from our Bachelor's curriculum. As a result, we expect incoming students to have solid prior knowledge. If you find gaps in your understanding, it is your responsibility to address them independently. The advantage of this approach is that we can focus more of the programme on specialised Master’s-level content. Our curriculum places particular emphasis on advanced statistics, with a strong focus on the development of underlying statistical theory.

Which Professions Does This Program Open Up?

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Subjects / Topic Areas

Applied Mathematics

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How do I apply to Master of Science in Data Science at Technische Universität Dortmund?

Most international applicants apply via uni-assist (document verification + APS for some countries). Prepare your secondary/Bachelor diploma, transcripts, language certificate (DSH/TestDaF or IELTS/TOEFL), motivation letter and CV. Non-EU students also need a Sperrkonto (~11,904 EUR/year) for the visa.

  1. Check requirements — Verify your degree is recognised + meet language/grade thresholds.
  2. Get language certificate — TestDaF / DSH for German programmes, IELTS / TOEFL for English.
  3. Submit via uni-assist (non-EU) — Document review + APS if your country requires it (China, India, Pakistan, Vietnam, etc.).
  4. Apply directly or via uni portal — Some universities accept direct applications — check the official programme page.
  5. Open Sperrkonto + apply for visa — After admission, deposit 11,904 EUR, get health insurance, book embassy appointment.

Frequently Asked Questions

Quick answers about Master of Science in Data Science at Technische Universität Dortmund

Is Master of Science in Data Science at Technische Universität Dortmund taught in German or English? ▼

This Master programme is taught in English. Make sure to check the language requirements (e.g. TestDaF, DSH, IELTS or TOEFL) before applying.

How much does the Master of Science in Data Science programme cost? ▼

No tuition fee (only semester contribution). International students should also budget around 800–1000 EUR/month for living costs in Germany.

What are the admission requirements for Master of Science in Data Science at Technische Universität Dortmund? ▼

Typical requirements include: a recognised secondary/undergraduate degree, proof of language proficiency (English), and (for non-EU applicants) a uni-assist application plus financial proof (Sperrkonto ~11.904 EUR/year).

When is the application deadline? ▼

Application deadlines vary: winter semester usually closes on 15 July, summer semester on 15 January. Always confirm the exact deadline on the official university website.

Can I work in Germany while studying Master of Science in Data Science? ▼

Yes. International students may work up to 140 full days / 280 half days per year without additional permission. After graduation you can apply for an 18-month job-seeker permit.

How do I apply to Technische Universität Dortmund — directly or via uni-assist? ▼

Most German universities accept international applications through uni-assist for document verification. Some unis accept direct applications — check the programme page on the official site.

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