The first and second years of the Master's programme are clearly divided.
The first year provides in-depth knowledge in advanced methods of applied mathematics as well as computer science. These two modules lay the basis for a solid understanding both of the methodology in mathematics needed in order to be successful in scientific computing and of the tools and techniques required to implement these methods efficiently in modern software systems.
The application component can be selected from a wide range of fields including physics, astronomy, biosciences, computational chemistry, or economics. Two seminars or traineeships complement the lecture blocks to ensure that practical application of the course content is a major part of the educational concept.
First year schedule:
Lecture series Mathematics I and II (16 CP)
Lecture series Computer Sciences I and II (16 CP)
Application fields I and II (16 CP)
Two seminars or traineeships (14 CP)
The second year of the Master's programme is dedicated to research in the field of the Master's thesis. Students choose from a set of lecture series, including, e.g. image processing, numerical solution of PDE, or analytical modelling, to extend their knowledge in one methodological area. Training in interdisciplinary skills is a key qualification for future researchers in scientific computing. A seminar on topics of the Master's thesis and research and documentation of the thesis project completes the second-year curriculum.
Second year schedule:
Major lecture series I and II (16 CP)
Interdisciplinary skills (6 CP)
Master's seminar (6 CP)
Master's thesis (30 CP)
An internship in industry should be completed after the first year of study. Programme advisers will assist students in finding an appropriate internship.