Core courses in computational mathematics, modeling and HPC: (24 ECTS)
- I. Computational Mathematics
- II. High Performance Computing (HPC)
- III. Stochastic / Visualization
- IV. Introduction to Modeling
Applications courses in modeling for continuum and discrete mechanics, multiscale physics, numerical methods and algorithms for high performance computing: 36 ECTS in total. The courses are split into 3 lists
- Numerical analysis and computational foundations: min 8 ECTS to take in this list
- Applications in science and engineering : min 8 ECTS to take in this list
- Data science and statistics
Choose 3 of subjects out of 4 (old CSE study plan until july 2026):
- Computational Modeling Based on Differential Equations ≥8 ECTS
- Computational Methods Based on Discrete Systems ≥8 ECTS
- Numerical Methods, Algorithms, High Performance Systems ≥8 ECTS
- Data Science ≥8 ECTS
Projects: (30 ECTS)
For a comprehensive description of graduate programs in CSE, visit the SIAM CSE webpage.
Professional perspectives
The Master in CSE opens the doors to industry in software engineering, environmental engineering, financial services, chemical and pharmaceutical R&D. It is also a strong asset for a PhD in computational science. Internships are carried out by our students with several partners (see Internships).