Mathematics and Computer Sciencefull time
- Degree
- Master of Science
- Master
- Standard period of study (amount)
- 4 semesters
- Location
- Augsburg
- Deadlines
- No information
Overview and admission
Study Type
graduate
Admission semester
Summer and Winter Semester
Area of study
- Computer Science
- Mathematics
- Statistics
- Artificial Intelligence
- Data Science
Focus
Stochastic Processes, Numerical Analysis of PDEs, Mathematical Modelling, High Dimensional Probability, High Performance Computing, Image Processing, Deep Learning, Quantum Algorithms, Process Mining, Embedded Systems
Target group
The degree course is aimed at students with a BSc degree in Mathematics, Computer Science, Data Science or related fields.
Admission modus
Selection procedure / qualifying examination
Admission requirements
Admission is based on an aptitude procedure, which is laid down in Section 4 and Annex I of the examination regulations. This requires, among other things, an average grade of 2.70 or better in the previous BSc degree programme. Furthermore, proof of the following knowledge from the Bachelor’s degree is expected. - Either 60 ECTS in Mathematics and 30 ECTS in Computer Science - or 30 ECTS in Mathematics and 60 ECTS in Computer Science
Lecture period
- 13.10.2025 - 06.02.2026
- 13.04.2026 - 17.07.2026
Application deadlines
Summer semester (2026)
Application Deadline for Aptitude Test
No information
Winter semester (2025/2026)
Application Deadline for Aptitude Test
The application deadlines are listed on the degree course page: https://www.uni-augsburg.de/en/fakultaet/mntf/math/studium/studiengaenge/mathe-info-master/
Tuition fees
Tuition fees
Languages of instruction
Main language
English
Further languages
German

