Information for students, faculty and staff regarding COVID-19. (Updated: 21 October 2020)
Computational Science and Engineering is a field of knowledge aiming at the development of methods that rely on computers and mathematics to model, simulate and visualise various kinds of systems, in nature and society. You typically deal with complex systems and large data sets. The methods can be applied to everything from making risk analyses to exploring ecological systems or making computer games and special effects in movies.
Computational Science and Engineering often combines several different disciplines including computer science, numerical analysis, applied mathematics, physics, biology and economy. During your education you learn to deal with complex systems and large data sets. The Master's programme begins with four compulsory courses in for example modelling, simulation and numeric methods.
During the second and third terms you choose between several eligible courses. You can for example choose to specialise in parallel programming, financial mathematics and advanced computer graphics. You take two parallel courses for every study period. The programme closes with a diploma work that gives opportunities both to make use of the attained knowledge and to learn the more specific tricks of the trade for a certain application.
In the Master’s Programme in Computational Science and Engineering, we will provide you with great opportunities for your future career. During your entire training, you will be able to cultivate a relationship with co-operating companies. You may apply for an internship, a summer job and the possibility to do your degree project. Following your degree, you will have furthered your possibilities for a future career track, perhaps in the same or a similar company.
Modelling and Simulation
Matrix Computations and Applications
Numerical Methods for Partial Differential Equations
Degree Project: Master of Science (two years) in Computational Science and engineering
Examples of eligible courses:
Multivariate Data Analysis
Numerical Methods in Physics
Monte Carlo Methods for Financial Applications
Project Course in Machine Vision
Advanced Computer Graphics and Applications
Computational Science and Engineering is widely used both in scientific research and advanced industrial development, for example for model building and analysis of data from different experiments.
After completing your degree you can choose to take more courses on advanced level or study for a PhD degree.