Scientific Computing

TU Berlin

Overview

Key facts

While at The Scientific Computing program from TU Berlin, students learn how to design holistic solutions for scientific and technical tasks in engineering and natural science applications - from mathematical modeling, analysis of mathematical models, and the development of numeric processes through to the implementation of the processes as software. They also acquire extensive technical knowledge in the field of scientific computing, applied mathematics, and a focus of their choosing. Students may choose, for instance, to focus on numerical mathematics, financial mathematics, or stochastic models.

The curriculum also includes application-oriented content from non-mathematical disciplines. Here, students can choose between physics, chemistry, engineering, biology, and medicine.

The master’s degree program in Scientific Computing consists of modules which combine curriculum content on a specific topic and often include a variety of different study and teaching formats. You can find a module list which offers a current overview of all the modules in TU Berlin’s module transfer system (MTS). In the MTS you have an overview of which modules are mandatory for your degree program and which are elective. Detailed module descriptions provide information about the content, learning objectives, participation requirements, workload, type of assessment, and much more. The module list is based on the study and exam regulations.