Computational Modelling and Simulation

The Master’s programme in "Computational Modelling and Simulation" (CMS) is research-oriented, interdisciplinary and international. It is a joint curriculum between TUD’s 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. This programme teaches the mathematical and algorithmic foundations and applications of computational modelling (learning models from data/machine learning, inverse problem, artificial intelligence) and computer simulation (numerical simulation, forward problem, logic). Specialisation is provided in one of the following application-specific tracks, offering unique flexibility to students: Computational Life Sciences (CMCB, Computer Science) Computational Mathematics (Mathematics) Visual Computing (Computer Science) Computational Modelling in Energy Economics (Economics) Computational Engineering (Mechanical Engineering) Applied Artificial Intelligence (Computer Science) The CMS programme also offers the possibility to study on a fast-track into a structured PhD programme, benefiting from the participation of local key partners in the relevant fields, such as an international Max Planck graduate programme. The curriculum focuses on long-lasting, transferable knowledge in a unique combination with cross-application problem-solving competence. The former is achieved through the universally valid contents of the foundational core modules, and the latter is achieved through cross-track seminars and a hands-on research project in an interdisciplinary environment. The standard duration of studies is four semesters, including three semesters for coursework and one semester for the Master’s thesis. The programme has a modular structure consisting of an application-independent core area and the application-specific specialisation tracks.