Overview
Modern life is shaped by complex systems—from technological networks and biological processes to socio-economic dynamics. This two‑year Master’s programme trains graduates to become versatile practitioners who combine contemporary mathematical and computational tools for modelling, simulation and optimisation to tackle such real‑world problems. Rather than producing narrow specialists, the course aims to give a broad repertoire of methods so students can choose and combine approaches as needed.
What you will study and experience
Taught entirely in English, the programme emphasizes advanced techniques across modelling, simulation and optimisation, with a substantial elective catalogue that allows you to focus on areas of personal or professional interest. A built‑in mobility window encourages study abroad at partner universities to gain scientific and cultural exposure. Teaching is application‑oriented: interdisciplinary seminars link theory with practice, and small team projects let you work on concrete problems in a way that mirrors collaborative work in applied research and industry. International applicants are explicitly welcomed, reflecting the programme’s preparation for a global research and work environment.
Key facts and requirements (concise)
This two-year (120 ECTS) Master's programme emphasizes applied mathematics with a strong focus on modelling, simulation and optimisation. During the first three semesters you take core courses in applied mathematics while choosing elective courses in applied mathematics, applied physics and computer science to shape your personal specialisation. The programme trains you to apply mathematical theory to concrete problems through an intensive project seminar that places emphasis on hands‑on modelling and numerical simulation.
The course catalogue includes core modules such as Applied Differential Equations, Numerics for Partial Differential Equations, Optimisation and Optimisation 2, alongside the Project Seminar. The project seminar gives you supervised practice in tackling real‑world problems and can be completed as a three‑month placement at a university, research institute or company. In the final semester you complete a 30 ECTS Master’s thesis that demonstrates your ability to perform independent research and to model and simulate a substantive real‑world problem.
Key learning outcomes include the capacity to:
Program structure and requirements (concise)
This MSc program requires applicants to hold a completed undergraduate degree with a solid quantitative foundation. Specifically, you should have a Bachelor of Science (BSc) or an equivalent first university degree in one of the listed subject areas.
Acceptable fields include Applied Mathematics, Applied Physics and Computer Science; degrees in other closely related disciplines are also considered if they provide substantial mathematical and computational content. Internationally awarded bachelor’s degrees that are recognized as equivalent to a BSc are acceptable.
Minimum academic requirements
Winter Semester (International)
15 June 2026
Summer Semester (International)
15 December 2026
Winter Semester (EU/EEA)
15 July 2026
Summer Semester (EU/EEA)
15 January 2027
Graduates are prepared for technical and research roles that require strong expertise in modelling, simulation and optimisation. Typical career paths include positions in applied research groups, engineering and technology companies, simulation and software firms, consultancy, finance and data science, as well as roles in industry sectors such as energy, manufacturing, telecommunications, and biotechnology.
The programme also provides a solid foundation for continuing academic research (PhD studies). While the instruction is in English and prepares students for international careers, acquiring German language skills can expand employment opportunities in the German labour market.