Modern experimental techniques generate larger and larger datasets, and thus simulation and modeling of complex systems has become an important tool in many fields of science. Examples include machine learning and modeling of neural networks in Computational Biology, climate and weather predictions in the Earth System Sciences, simulation of plasmas in Space- and Astro Physics, simulation of atoms and molecular bonds in Theoretical Chemistry, and the numerical solution of many-body problems in Condensed-Matter Physics. The ongoing development in these fields generates a need for specialized study programs.

The Master program in Computational Sciences directly incorporates research activities with computational methods in the natural sciences. Within this interdisciplinary, research-oriented Master program, students from different scientific backgrounds obtain the skills required for modern, computational research methods in numerous scientific fields. Students will be trained equally well in simulation science, computer science and applied mathematics as well as their selected Area of Specialization.

Successful completion of the program will provide you with the qualifications to start a PhD within your respective area of specialization.

The Computational Sciences master program has been jointly developed within the Competence Area III: Quantitative Modeling of Complex Systems at University of Cologne.