Data Science (M.Sc., 1-subject)
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 provides 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.
Course | Data Science |
Degree | Master of Science |
Program type | 1-subject |
Course length | 4 semester |
ECTS (Credits) | 120 |
Admission restrictions | none (SS25)none (WS25/26) |
Course starts | winter semestersummer semester |
Language of instruction | English |
Course structure
A 1-subject Master's programme has a standard period of study of four semesters.
Module description and examination regulations
The subject examination regulations [german] regulate the purpose, content and procedure of the examinations and are legally binding. If you have specific questions about the content of an individual examination, please connect your examiners, otherwise contact the departmental academic advisor. The University Examination Office will answer any questions regarding the organisation of examinations.
The module descriptions specify the modules laid out in the examination regulations and provide information on the content of the courses in the modules as well as the learning objectives and competences to be acquired.
Application and admission
Admission to this master's programme requires proof of 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
An internship is not compulsory in this programme.
Nevertheless, 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 through Career Services by providing information and internships offers.
Study abroad
A study abroad is not compulsory, but is recommended.
The university supports study abroad and internships abroad through numerous exchange programs. Further information on these programs and contacts:
Departmental Contact
- Homepage of the Department of Computer Sciences
- Homepage of the Department of Mathematics
- Homepage of the Department of Economics
- Departmental Academic Advisor for Computer Sciences
- Departmental Academic Advisor for Mathematics
- Departmental Academic Advisor for Economics
Programme Co-ordinators | Data Science Programme
- Prof. Dr. Ralf Münnich (Economics),
muennichuni-trierde,
Tel.: (0651) 201-2651
- Prof. Dr. Ralf Schenkel (Computer Sciences),
schenkeluni-trierde,
Tel.: (0651) 201-2040
- Prof. Dr. Volker Schulz (Mathematics),
schulzvuni-trierde
Tel.: (0651) 201-3484
Note: Academic advice from the department is also available via datascienceuni-trierde.