- Degree
- Master of Science
- Course location
- Erlangen
- Teaching language
- • English
- Languages
- All mandatory and mandatory elective courses of the programme are taught in English. Up to 12% of the courses are elective courses which can be chosen from a portfolio containing German and English courses.
- Full-time / part-time
- • full-time
- Programme duration
- 4 semesters
- Beginning
- Winter and summer semester
- Additional information on beginning, duration and mode of study
- We recommend to start the programme in the winter semester.
Participating in the programme (lectures, exams) requires students to be on-site. Nevertheless, lecturers might provide some online material.
- Application deadline
- 15 July for the following winter semester
15 January for the following summer semester
- Tuition fees per semester in EUR
- None
- Combined Master's degree / PhD programme
- No
- Joint degree / double degree programme
- No
- Description/content
- This degree programme is tailored to the current needs in applied mathematics and scientific computing. It is designed for students who appreciate using rigorous mathematical analysis or scientific computing for the prediction of phenomena or for the optimisation of processes in the sciences or in engineering. Initially, the students acquire a firm grounding in mathematical modelling and applied analysis as well as in high performance computing. They learn to derive mathematical models and to reflect upon the properties and limitations of models. Starting in the second semester, the students are free to choose from a large variety of courses in order to specialise in two of the three following fields:
• Modelling and Applied Analysis
• Numerical Analysis and Simulation
• Optimisation
The subjects of these mandatory elective courses (which all are taught in English) reflect the mathematical research pursued at Friedrich Alexander University Erlangen-Nuremberg (FAU). They range from modelling, PDE analysis and numerical simulation in mathematical continuum mechanics (transport processes in complex multiphase flow, fluid-structure interactions) to multiscale analysis and mathematics in the life sciences. They also include various fields of mathematical optimisation, including shape optimisation, optimisation with PDE, and discrete optimisation.
In addition, the study plan permits students to attend a number of modules chosen from the entire portfolio of the university's Master's level classes to follow their interests beyond mathematics or in other fields of mathematics.
For details, see the programme website: https://studium.math.fau.de/cam (https://studium.math.fau.de/cam).