Courses are held in English (100%).
Winter semester:
15 March (for non-EU applicants)
15 July (for EU applicants and applicants not subject to visa requirements)
Summer semester:
15 September (for non-EU applicants)
15 January (for EU applicants and applicants not subject to visa requirements)
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:
Further application areas are in preparation.
The study programme manifests itself in three core areas:
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.
The Master's degree programme in Data Science divides into the following parts:
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
Option for semester abroad via ERASMUS+
Option for semester abroad via ERASMUS+
In order to enrol at TU Braunschweig or to register back for the coming semester, you have to pay your semester contribution (currently approx. 360 EUR).
The semester contribution for example covers your semester ticket for public transport.
By German standards, Braunschweig is not an expensive place to study. Nevertheless, you need a minimum of about 940 EUR per month to be able to study here successfully.
More information about financing your studies can be found here.
TU Braunschweig has a scholarship programme for excellent students ("Deutschlandstipendium"). The stipend rate is 300 EUR per month.
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:
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:
Proofs have to be furnished by way of a written presentation on at most one DIN A4-page (typeface Arial, type size 10) with attached documents/copies.
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
Applicants whose native language is not English must have a sufficient knowledge of English. The proficiency in English must be demonstrated by minimum performance in one of the following internationally recognised tests or equivalent tests as specified below:
Minimum result
The successful completion of one of these tests must not date back more than three years from the date of application for admission to the Master’s degree programme.
Winter semester:
15 March (for non-EU applicants)
15 July (for EU applicants and applicants not subject to visa requirements)
Summer semester:
15 September (for non-EU applicants)
15 January (for EU applicants and applicants not subject to visa requirements)
https://www.tu-braunschweig.de/en/international-students/application
The Student Services OstNiedersachsen ("Studentenwerk") offer several dormitories:
https://www.stw-on.de/en/braunschweig/housing/
Various mentoring programmes
TU Braunschweig offers a broad range of support programmes for all administrative, academic, social, and personal questions and challenges that international students may have.
Read more about our International Student Support Programme.
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