Career Perspectives

Qualification goal

Upon successful completion of the course, students will be able to capture and model complex systems and processes by means of computer-based data analysis, as well as to use these models to make computational predictions (i. e. simulations) about the future behaviour of a system. The qualification goal is to convey cross-application methods and techniques of computer science, scientific computing and computer-aided sciences. Application-specific domain knowledge is imparted in the individual tracks, where students work on the practical application of the obtained methods and techniques. Depending on the choice of track, graduates are thus able to model and simulate complex systems and interrelations using computer technology in the areas of:

  •     Energy systems and energy markets,
  •     Machines and technical systems,
  •     biological and medical systems,
  •     mathematical models,
  •     visual data and artificial realities.

The program focusses on the ability to develop and apply new approaches and algorithms for solving problems. The knowledge and skills imparted are generic and transferable between the fields of application guaranteeing a future-oriented skill-set.

Career Perspectives

Thanks to their acquired broad technical knowledge, graduates will be able to master in their professional life a large variety of complex tasks in the fields of computer science and modeling and simulation. Graduates are qualified for scientific research (PhD) as well as related professional fields. They will have the possibility to continue in basic research, conduct research in institutions of higher education or occupy a position in an industrial company.

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Susann Gierth
Last modified: Jul 16, 2018