- Degree
- Master of Science in Mathematical Modelling, Simulation and Optimisation
- Course location
- Koblenz
- Teaching language
- • English
- Languages
- Courses are held in English and it is possible to complete the entire programme in English.
German language skills are not a prerequisite for studying. However, they allow students to choose from a wider range of elective courses and are very helpful in everyday life and for a potential transition into the German labour market. Free German classes are offered by the university.
- Programme duration
- 4 semesters
- Beginning
- Winter and summer semester
- Application deadline
- EU applicants:
• 15 January for the summer semester
• 15 July for the winter semester
Non-EU applicants:
• 15 December for the summer semester
• 15 June for the winter semester
It is recommended to apply as early as possible to allow sufficient time for the visa application process.
- Tuition fees per semester in EUR
- None
- Combined Master's degree / PhD programme
- No
- Joint degree / double degree programme
- Yes
- Description/content
- Complex systems with a technological, biological or socio-economic background determine our everyday life. The challenge of modelling these complex systems mathematically demands the following prototypic profile of an "expert mastering a repertoire of modern mathematical and computer-based methods for modelling, simulating and optimising complex systems and knowing how to combine those methods for solving real-world problems".
The term expert is understood in the sense of a generalist and not a specialist, since this programme aims at teaching a broad spectrum of modern methods.
The two-year English-taught Master's programme in Mathematical Modelling, Simulation and Optimisation focuses on advanced techniques of modelling, simulation and optimisation. A substantial set of elective courses allows concentration on areas of individual interest. A mobility window enables the students to study abroad and gain scientific and cultural experience at international partner universities. This programme uses English as the medium of instruction, since its graduates will enter a highly globalised work and research community. Besides that, the participation and enrolment of international candidates is explicitly welcomed.
Application oriented, interdisciplinary seminars link the theoretical basics and concepts of modelling, simulation and optimisation. Students work in small teams to solve real-world problems. This teamwork reflects typical work in applied sciences and corresponds to our paradigm of an "expert mastering a repertoire of methods to solve problems".