Computational Science and Engineering - Master of Science (MSc)

Computational Science and Engineering (CSE) stands for interdisciplinary computer-aided mathematical modelling and simulation of questions and problems of natural sciences and engineering, but also medicine and life sciences. Computer-aided simulations have become irreplaceable in research and development. Nowadays, new insights aren't merely founded on theoretical reflections and experiments but more and more on computer simulations.

The CSE Master's builds on the CSE Bachelor’s programme, yet is also an interesting advanced pathway for graduates with related Bachelor’s degrees in Mathematics, Engineering, Natural Sciences, Computer Science, Physics and similar areas of study. Bachelor's graduates aspiring to do the CSE Master’s programme should have knowledge and competences in applied mathematics, computer science and an area of natural sciences or engineering.

The CSE programme in Ulm features a strong connection to the Chamber of Industry and Commerce (IHK) Ulm. Numerous regional small and medium-sized businesses are leading in their fields on the world markets with their high-tech products. Modelling and simulation have become highly important for these businesses. Products and processes in development and production are becoming increasingly complex and the pressure is growing to develop faster and cheaper in order to maintain global market leadership, especially for regional small and medium-sized businesses.

The Master’s programme Computational Science and Engineering (CSE) is offered in cooperation with Ulm University of Applied Sciences and with the support of the Chamber of Industry and Commerce (IHK) Ulm. This cooperation unites the research orientation of the University with the practical approach of the University of Applied Sciences.

The study curriculum is based on the following three pillars: 

• Applied Mathematics
• Computer Science
• Engineering and Natural Sciences

The interdisciplinary component interweaves these disciplines.

Courses in Numerics and High-Performance Computing are compulsory while other areas can be emphasised individually. The curriculum offers a diversified compulsory electives catalogue with a great choice of specialisations across the entire spectrum of the faculties of Ulm University and Ulm University of Applied Sciences.