Computational Science, Scientific Computing - Master Programme

Advanced computations are increasingly important in research and business. In this Master’s programme you will learn how to study complex processes within the natural sciences, and how computational science can contribute to knowledge evolution in society. Scientific computing focuses on the study and development of computational methods that are used within computational science. A few of many examples are studies in, and research on, environment and climate change to the specific design of new aviation fuel or understanding supernovas.

The programme prepares you for a future career in academia or business. In addition to theoretical knowledge in computational science, there will be an emphasis on obtaining knowledge about the practical tools that are used by professionals in the field, including training your skills in programming. You will get general knowledge and skills of importance for computationally intensive professions, such as problem formulation, searching for information, data processing, scientific writing, and presentation techniques.

The Master’s programme gives you specialised knowledge in the field of scientific computing, while also being interdisciplinary in character. Participating students have a background in maths/physics and an interest in mathematics and programming, but you will take courses alongside students from other specialisations. In this context, there will be a chance to conduct joint projects and degree projects. The programme has strong ties with research. You will be taught by internationally well-recognised researchers, and you will be in contact with several research groups. The programme is taught in English.

Programme structure

The programme puts emphasis on mathematics, numerical analysis and mathematical statistics. The course design combines numerical methods for differential equations with mathematical statistics and natural sciences to provide you with knowledge and skills for differential equation-based and data-based modelling. 

In the first year, you will study four compulsory courses: modelling in computational science, Monte Carlo methods for statistical inference, stationary stochastic processes and numerical methods for differential equations. You then go on to choose courses such as artificial neural networks, simulation tools, statistical modelling of extreme values and numerical algorithms with Python/SciPy. You can also choose from a selection of courses with focus on different processes in the natural sciences. The degree project is worth 30 credits.

Career opportunities

Graduates of the programme can embark on several different career paths. The Master’s programme gives you a good foundation for third-cycle studies in the natural sciences, or a career within industry or business. You can thus also choose a career path outside academia and then find attractive jobs in areas where there is a need to solve natural science problems with the help of statistics, data processing or simulations, in industry or in public administration and other organisations.