- Degree
- Master of Science in Mathematical Analysis and Modelling
- Course location
- Augsburg
- In cooperation with
- Université de Rouen Normandie, Università di Napoli Federico II, Universidad de Sevilla, (Tomsk State University)
- Teaching language
- • English
- Languages
- Courses are taught in English. Courses may be taught in German if requested by all of the participants.
- Full-time / part-time
- • full-time
- Programme duration
- 4 semesters
- Beginning
- Winter semester
- Application deadline
- 15 June for the following winter semester
We suggest that non-EU citizens apply as early as possible. (The VIBS portal usually opens in March.) In many cases, early admission can 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
- Yes
- Description/content
- The Mathematical Analysis and Modelling (MAM) programme is a two-year (four semester) Master's programme (120 ECTS). It is taught in English. One semester, typically the third semester, is to be spent at a foreign university. If the foreign university is one of the partner universities (in France, Italy, Spain), a double degree can be obtained.
Mathematical Modelling and Analysis are fundamental tools in most scientific and technological advances nowadays. Mathematical models are widely used in natural sciences (physics, chemistry, biology, meteorology, medicine, ...), in architecture and engineering (engineering mechanics, civil, computing, ...), and in the social sciences (economics, psychology, sociology, ...). This makes Mathematical Modelling and Analysis a field of high demand, not only in the academic world but also from the labour market in many sectors of society and business. The main objective of the MAM degree is to provide top-ranked students with an excellent background in applied mathematics. Students who successfully complete the programme have knowledge of effective methods for solving problems and skills in the use of powerful computation software.