Dresden: Master’s program Computational Modeling and Simulation

Computational Modeling and Simulation is a joint curriculum between the Faculty of Computer Science, the Faculty of Mathematics, and the Center for Molecular and Cellular Bioengineering (CMCB) with participation of the Faculty of Psychology, the Faculty of Medicine, the Faculty of Economics, and the Faculty of Mechanical Engineering.

Andreas-Pfitzmann-Bau, Technische Universität Dresden © Gina Valentin/Technische Universität Dresden

The research-oriented interdisciplinary curriculum offers application-independent training in the algorithmic and mathematical foundations of computational modeling and simulation, followed by specialization in one of six application-specific tracks (see below), allowing students the flexibility to select courses based on their interests. The program combines topics in modeling (Data Science, Inference, Machine Learning, Artificial Intelligence, Knowledge Models) and simulation (numerical methods, computer simulation, scientific software engineering, high-performance computing), in order to provide knowledge of lasting value and educate the innovators of tomorrow. We do not teach the use of specific existing software tools or commercial solutions.

The program also offers the possibility to fast-track into a structured PhD program supported by local key-partners in the relevant fields.

German language proficiency is not necessary to study in this international master’s program except for the track, Computational Modelling in Energy Economics. English is the main language of instruction, and all modules can be completed entirely in English. However, students with additional German language skills will find a greater selection of topics in some of the elective modules.

Find out more about Data Science (M.Sc.) in Leipzig!