Welcome to the Homepage of the Master's program Computational Sciences!


Application period for winter term will start April 15, 2017! Applications from international students welcome! Please see Program Profile | Application & Admissions for more details. You are interested in this program but having questions about it? Please contact us at info[at]compsci.fu-berlin.de

A new interdisciplinary master’s degree program in computational sciences is offered at Freie Universität since winter semester 2016/2017. Applications for the uppcoming admission period for winter semester 2017/18 will be accepted between April 15, 2017 and May 31, 2017. Students enrolled in the program will be taught how to apply precise mathematical and computer-based methods and to develop software for solving current scientific problems. The classes will mainly be taught in English. The instructors in the program are from the disciplines of chemistry, physics, geosciences, mathematics, and computer science.

The four-semester master's program combines theoretical and application-oriented contents and is divided into the following four components:

  • Synchronization: Learning fundamental methods of computational sciences and establishing an interdisciplinary profile from courses that were not worked on in the respective bachelor’s degree program
  • Scientific computing: Setting a priority in numerics, statistics, or computer science
  • Specialization: Focus on one of the three scientific fields: molecular sciences, geosciences, or atmospheric sciences
  • Master’s thesis: Writing up a research project in the field chosen for specialization

The applicants must already have a degree as specified in §3 of the Zugangssatzung (admissions statutes) and a working knowledge of English (B1 GER or equivalent).

Why should I do my M.Sc. in Computational Sciences if my B.Sc. is in ...?

Chemistry: Become a computational chemist. If you like physical chemistry, theory and computation better than labwork, this program allows you to fully focus on theory and simulation methods for molecular dynamics and quantum mechanics and the underlying computational and numerical methods.

Physics: Strengthen your profile as a computational physicist. You have a strong theoretical education, but now you would like to improve your computational skills, learn how to develop numerically robust and scalable algorithms and how to write good scientific software in teams. Scientifically, you can specialize in statistical mechanics and molecular dynamics, learn to apply quantum mechanics to molecules, or get started in the geosciences.

Computer Science and Engineering: You have a solid background in programming and computation, but you also find the natural sciences fascinating. Get started and learn how to transfer your computational skills to problems in Physics, Chemistry or Geosciences.

Mathematics: You have a solid background in mathematical theory, but you would like to learn more about modeling of real-world phenomena. Get started and learn how to apply sound mathematical methods to problems in Physics, Chemistry or Geosciences.

Geosciences: You have a solid education in geophysics or geography. Only very recently these fields have begun to fully embrace computational techniques for modelling and data analysis as cornerstones of up-to-date research. If you are interested in contributing to this exciting new research direction, pick up the necessary skills in mathematical modelling, complex data analysis, numerical mathematics and informatics in this Master program.

Atmospheric Sciences: You have successfully completed your studies of meteorology. For decades, computational models for weather forecasting and climate research have been strong drivers of supercomputer development. With computer architectures becoming ever more complex, these fields have seen rapid developments through interdisciplinary cooperations between meteorologists, climate researchers, computer scientists, and mathematicians. If you plan on contributing to these modern developments, this Master program will provide you with necessary skills in mathematical modelling, complex data analysis, numerical mathematics and informatics.

Please find the slides presented during our last information session on May 25, 2016 here:

  • Informal Introduction (pdf)
  • Molecular Sciences (pdf)
  • Geosciences (pdf)
  • Atmospheric Sciences (pdf)