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 Centre for Molecular and Cellular Bioengineering (CMCB) with participation of the Faculty of Psychology, the Faculty of Medicine, the Faculty of Business and Economics, the Faculty of Electrical and Computer Engineering, the Faculty of Environmental Sciences and the Faculty of Mechanical Science and 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) Computational Environmental Science and Engineering (Environmental Sciences) 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 core curriculum teaches computational modelling (machine learning and data analysis) and computer simulation (numerical methods). The tracks cover a wide range of applications. The application-specific track must be selected upon application. The programme has a modular structure consisting of the compulsory area, the basic compulsory elective area (COR-modules, language modules, scientific methodological basic training modules) and the track-specific compulsory and compulsory elective area.  The modules contain lectures, exercises, seminars, tutorials, research projects, and language courses. First semester: Students select three COR-modules (in the scope of about 15 credit points) Soft Skills module (2 credit points) Students select modules of the respective track according to the study plan (in the scope of about 15 credit points) Second semester: Students select one language course (5 credit points)  Students select one seminar of the scientific methodology basic area (3 credit points) Students select modules of the respective track according to the study plan (in the scope of about 20 credit points) Third semester: Research module (15 credit points): application of acquired knowledge in an independent research project Students select modules of the respective track according to the study plan (in the scope of about 15 credit points) The compulsory elective area of the selected track comprises modules in the scope of 50 credits.  Fourth semester Master's thesis project and defence as individual research work (30 credits) PDF Download