Data Science (M.Sc., 1-Fach)
The Data Science programme is a research-oriented course of study that provides in-depth knowledge in the areas of computer science, mathematics and statistics relevant to Data Science. The strong interdisciplinary orientation provide a broad knowledge of the field, learning how to approach problems from different angles and able to adapt to the rapidly changing demands in the field.
Information from the department:
Admission in summer semester is possible. However, beginning in the winter semester is optimal, based on the programme design.
|Degree||Master of Science|
|Course length||4 semester|
|Admission restrictions||keine (WS21/22)keine (SS22)|
|Course starts||Winter semesterSummer semester|
|Language of instruction||Englisch|
Module description and examination regulations
The subject examination regulations regulate the purpose, content and procedure of the examinations and are legally binding. If you have specific questions about a particular examination, you should contact your examiner (or academic advisor). Questions regarding the process, organisation and registration for the examination should be directed to the Examination office (HPA).
The module descriptions stipulate the examination regulations and requirements for the module and provide information on the content of the modules as well as the learning objectives and competencies to be acquired.
Application and admission
Admission to this master's programme, requires an appropriate bachelor's degree with a minimum grade according to the subject examination regulations.
Whether a bachelor's degree programme or parts of a bachelor's degree programme qualify for the admission to a specific master's degree programme, is decided by the departmental examination board during the application procedure on the basis of the subject examination regulations.
Admission to this master's programme, also requires the following proof(s) according to the subject examination regulations.
- English language proficiency
Further information on applying, admission and enrolment can be found on the application page.
Internships are not compulsory in this programme.
Nonetheless, it is recommended to make contact with employers through internships at an early stage and get to know the future working world. The university supports internships in Germany and abroad through information and offers posted on Career Services.
- Homepage of the Department of Computer Sciences
- Homepage of the Department of Mathematics
- Homepage of the Department of Economics
- Academic Advisor for Computer Sciences
- Academic Advisor for Mathematics
- Academic Advisor for Economics
Programme Co-ordinators | Data Science Programme
- Prof. Dr. Volker Schulz (Mathematics),
Tel.: (0651) 201-3484
Note: Academic advice from the department is also available via datascienceuni-trierde.