Computational Science and Engineering (CSE)

Computational Science and Engineering (CSE) is a rapidly developing field that brings together applied mathematics (especially numerical analysis), computer science, and scientific or engineering applications. CSE focuses on developing problem-solving methodologies and robust tools for numerical simulation. To understand phenomena and processes from science and engineering, we no longer need to depend only on theory and experiment, but can also use computations. Numerical simulations supplement experiments and can even allow the examination of systems and problems that would be too time-consuming, expensive, or dangerous (if possible at all) to study by experiment alone.

The high level of detail and realism in these simulations requires advanced skills in mathematical modeling, numerical analysis, efficient algorithms, computer architecture, software design and implementation, validation, and visualization of results. This program equips engineering, science, or mathematics graduates with the skills required for a successful professional or academic career in CSE.

Which further expertise and skills will I acquire?

Upon graduating with a M.Sc. in Computational Science and Engineering, you possess a great portfolio of skills in the areas of Computer Science, Numerical Analysis, Scientific Computing as well as their relevant Applications, Methods and Techniques. 

Computer Science focuses on Advanced Programming, Computer Architecture and Networks, Fundamental Algorithms, Parallel Programming, Scientific Visualization, the Programming of Supercomputers and Patterns in Software Engineering. 

In the area of Numerical Analysis, the core subjects offered are Numerical Programming and Parallel Numerics.

You have also gained theoretical as well as practical skills in scientific computing, and are capable of applying your theoretical knowledge in your individual focus area to questions of current research.

Which professional opportunities can I take up with this qualification?

Graduates of the master’s program in Computational Science and Engineering can look forward to an inspiring career. Considered an important and dynamic field, Computational Science and Engineering is an emerging discipline that extends into all fields from which it evolved – applied mathematics, engineering and science applications, high performance computing, and many more. Accordingly, job opportunities and career paths are diverse, constantly exploring new fields of application, and usually characterized by a high level of interdisciplinarity.

Thanks to their computational abilities, advanced programming skills and understanding of sophisticated models and algorithms, computational science and engineering graduates are high in demand to solve large-scale problems once thought to be unmanageable.