- Degree
- Master of Science
- Course location
- Augsburg
- Teaching language
- • English
- Languages
- Courses are held in English.
- Full-time / part-time
- • full-time
- Programme duration
- 4 semesters
- Beginning
- Winter and summer semester
- Application deadline
- For every winter semester:
• 1 September
• Non-EU applicants: Due to visa issues we strongly recommend to apply well ahead (suggested: 1 May). Early admission will be granted to allow sufficient time for visa processing.
For every summer semester:
• 1 March
• Non-EU applicants: Due to visa issues, we strongly recommend to apply well ahead (suggested: 1 December). Early admission will be granted to allow sufficient time for visa processing.
- Tuition fees per semester in EUR
- None
- Combined Master's degree / PhD programme
- No
- Joint degree / double degree programme
- No
- Description/content
- Mathematics and Computer Science is an interdisciplinary Master's programme with an equal share of mathematics and computer science, and it provides the opportunity to combine the two disciplines in seminars and project modules.
Recent developments in both fields show that they are increasingly interrelated. For example, mathematics involving algorithms (optimisation, statistics and data science, scientific and high-performance computing, image processing etc.) or computer science requiring mathematical background (machine learning, computer vision, process mining, quantum computing, etc.).
The Master's programme is designed for people with a Bachelor's degree in mathematics or computer science, or related fields at the interface. We expect a solid background knowledge in the foundations of both fields, which have to be documented during the application procedure.
We promise cutting-edge training in both fields, individualised learning with 1:1 supervision, an application-oriented focus and excellent career prospects in Germany and abroad. With their mix of mathematical foundations and programming project experience, alumni have all the tools to be pioneers of digital transformation.