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Master's programme

Data Science Technische Universität Braunschweig

Duration
4 semesters
Language of instruction
English
Tuition fees
No tuition fees
Next application deadline
15 January 2027 (summer semester)
Language level required
English: C1
German: None

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Programme overview

Quick facts

Degree
MSc
Duration
4 semesters
Full-time / part-time
Full-time, Part-time (study alongside work)
Intake
Winter and summer semester
Joint degree / double degree programme
No
A Diploma supplement will be issued
Yes
Combined Master's degree / PhD programme
No

Language of instruction

English

Courses are held in English (100%).

Programme description

The science of gaining knowledge and insight from data is so highly developed today that it forms its own field: data science. The study of data science combines computer science, mathematics and various selectable application subjects. Because of the fascination with these methods and their importance for business, technology and research, the position of a data scientist is often considered the "hottest job" of our time.

The study programme in data science is a joint course offered by the departments of Computer Science and Mathematics. Through the application areas, all other faculties of TU Braunschweig also participate in the study programme. TU Braunschweig has been offering the study of computer science since 1972, making it one of the first universities in Germany to do so, and mathematics has always been taught at TU Braunschweig. Since 2018, a specialisation in the mathematics of data science has been offered in the Master's in Mathematics programme. The English-taught Master's programme in Data Science is thus – unlike at other locations – a combination of the fundamentals of mathematics, relevant areas of computer science, and a variety of application areas from the entire portfolio of TU Braunschweig.

Examples of these application areas include the following:

  • engineering
  • biology/chemistry/pharmacy
  • medicine
  • image and signal processing

Further application areas are in preparation.

The study programme manifests itself in three core areas:

  • the education in fundamental research in mathematics, with emphasis on mathematical foundations for data analysis
  • the education in fundamental research in computer science, with an emphasis on data processing, data analysis, and data management
  • an application area in which these fundamental techniques are put into practice

Ramp-up courses in mathematics and computer science bring students with different previous degrees to a comparable level in order to make the entire range of the Data Science degree programme accessible to them. A wide freedom of choice in the three core areas of the programme (mathematics, computer science and applications) allows students to develop their own profile and focus. Seminars, labs and projects implement practical, project-based and research-oriented learning and train the application of theoretical knowledge to practical problems. Written within a six-month period, the Master's thesis at the end of the Master's programme constitutes an independent scientific research work under expert supervision at one of the institutes in computer science or mathematics, usually in connection with an application area.

Programme structure

The Master's degree programme in Data Science divides into the following parts:

  • Ramp-up phase (10 credit points)
  • Compulsory electives from the scope of "Methods and Concepts of Computational Sciences" (25 credit points)
  • Compulsory electives from the scope of "Methods and Concepts of Mathematics" (25 credit points)
  • Compulsory electives from the scope of "Data Science in Applications" (15-20 credit points)
  • Compulsory electives from the scope of "Key Qualifications and Ethics" (10-15 credit points)
  • Master's thesis including presentation (30 credit points)

Together with their tutors, all students develop an individual study plan at the beginning of their studies, in order to set their own specific study priorities.

Please refer to the module guide for more detailed information: https://www.tu-braunschweig.de/en/data-science/documents

Programme structure

Mode of study

  • Fully on-site

International elements in the curriculum

The curriculum of this study programme includes international elements that support global perspectives and cross-cultural learning:

  • Integrated/optional study abroad unit(s)

    Option for semester abroad via ERASMUS+

Application and admission

Application period(s)

Summer semester

Applicants from Applications begin Application deadline
EU countries
1 December 2026
15 January 2027
Non-EU countries
1 August 2026
15 September 2026

Winter semester

Applicants from Applications begin Application deadline
EU countries
1 June 2027
15 July 2027
Non-EU countries
1 February 2027
15 March 2027
Information on application periods

Academic admissions requirements

To enter the consecutive Master’s degree programme in Data Science, applicants must:

  • hold an equivalent qualification in the prior degree programme in data science, computer science, mathematics or a closely related degree programme

and

  • demonstrate a particular specialised qualification

Knowledge and expertise have to be proven in the following study areas:

either

basic knowledge, that has been acquired within the scope of the first study programme by successfully participating in equivalent study modules (courses such as lectures, exercise courses, practical courses); having achieved at least 25 credit points in basic mathematics and at least 60 credit points in basic computer science; and knowledge in the following central subjects of computer science:

  • programming skills
  • software engineering
  • data bases
  • as well as at least two topics from the areas IT security, distributed systems and computer networks

or

basic knowledge, that has been acquired within the scope of the first study programme by successfully participating in equivalent study modules (courses such as lectures, exercise courses, practical courses); having achieved at least 75 credit points in basic mathematics, of which up to 15 credit points may have been achieved in computer science; and knowledge in the following central subjects:

  • linear algebra
  • analysis, also multivariate
  • programming skills

Selection interview:

The selection interview is meant to show whether an applicant is qualified for the Master’s degree programme chosen.

Please refer to the Admission Regulations for more detailed information: https://www.tu-braunschweig.de/en/data-science/documents

Language requirements

Please check all requirements directly with the respective higher education institution. Exceptions may apply. See our website for further details.

German language requirements

German: None

English language requirements

English: C1

Accepted certificates include
Certificates Minimum result
IELTS Academic
Total: 6.5 / 9
TOEFL iBT (before 2026)
Total: 95 / 120
Reading: 24 / 30
Listening: 22 / 30
Writing: 24 / 30
Speaking: 25 / 30

How to apply?

Website

Please check this website.

Click here

Costs and funding

Tuition fees per semester

No tuition fees

Semester contribution

In order to enrol at TU Braunschweig or to re-register for the coming semester, you have to pay your semester contribution (currently approx. 440 EUR).

The semester contribution covers, for example, your semester ticket for public transport.

Cost of living

By German standards, Braunschweig is not an expensive place to study. Nevertheless, you need a minimum of about 1,000 EUR per month to be able to study here successfully.

More information about financing your studies can be found here.

Part-time employment

TU Braunschweig offers various jobs for student assistants. You can find an overview of the job offers here:

To the job market

Scholarships and financing information

TU Braunschweig has a scholarship programme for excellent students ("Deutschlandstipendium"). The stipend rate is 300 EUR per month.

Information on funding can be found here.

Living & services

Support for international students

  • Welcome event
  • Buddy programme
  • Accompanying programme
  • Cultural and linguistic preparation

TU Braunschweig offers a broad range of support programmes for all administrative, academic, social, career-related, and personal questions and challenges that international students may have.

Learn more about the International Student Support.

Career advisory services

The International Career Service at TU Braunschweig guides international students on their journey from the university to the German job market. It offers workshops, advisory sessions, company visits and more. Find out more at:
https://www.tu-braunschweig.de/en/international-career-service/students

Accommodation

The Student Services OstNiedersachsen ("Studierendenwerk") offer several dormitories:
https://www.stw-on.de/en/braunschweig/housing/.

More information about finding housing is available here: https://www.tu-braunschweig.de/en/freshmen-hub/important-informations/housing-search.

Contact

Main contact

Carl-Friedrich-Gauß-Fakultät, Departments Computer Science and Mathematics

Adresse
38106 Braunschweig
E-Mail
E-mail

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Immer wissen, was als Nächstes ansteht

Mit deinem Study Guide hast du eine persönliche To-do-Liste, die sich an dein Herkunftsland, deinen Abschluss und deine Interessen anpasst – und dir zeigt, was als Nächstes wichtig ist.