Computer Scienceinternational course, part time, full time
- Degree
- Master of Science
- Master
- Standard period of study (amount)
- 4 semesters
- Location
- Regensburg
- Deadlines
- No information
Overview and admission
Study Type
graduate
Admission semester
Summer and Winter Semester
Area of study
- Practical Computer Science
- Theoretical Computer Science
- Mathematics
Focus
Software Engineering, Bioinformatics, Machine Learning, Explainable AI, Computer Architecture, Computer Networks, Data Engineering, Core Computer Science, Human-Centred Computing, Information Systems
Target group
Bachelor’s degree graduates from Computer Science and Data Science should specialise according to their interests in core computer science topics on the one hand and in concrete areas of application in computer science on the other. The curriculum therefore includes compulsory elective subjects in which basic methods of general computer science are explored in depth. In addition, four areas of specialisation are offered: Core Computer Science, Bioinformatics, Information Systems, Human-Centred Computing).
Annotation
Degree course-specific aptitude procedure: Applications for admission to the Master’s degree programme and the aptitude procedure in the winter semester exclusively via the electronic application portal for the winter semester by 1 June (cut-off date) and for the summer semester by 1 December (cut-off date).
Admission modus
Selection procedure / qualifying examination
Admission requirements
Three-stage aptitude procedure: 1) Examination of the documents to be submitted in writing 2) An essay written in English (max. 1,500 words) on a given topic (announced by 1 April for the winter semester or 1 October for the summer semester). 3) Selection interview in English (15-30 minutes) on a given topic (announced by 1 April for the winter semester and 1 October for the summer semester) The eligibility parameters are a) existing specialist knowledge and skills in the field of computer science and b) existing methodological and problem-solving skills.
Lecture period
- 13.10.2025 - 06.02.2026
- 13.04.2026 - 17.07.2026
Languages of instruction
Main language
English
Further languages
German

