In this programme, you become an expert in simulation and visualization for use in your own discipline. You also study artificial intelligence, machine learning, swarm intelligence and software architecture for simulators.

Simulation for solving traffic jams. Simulation of heat loss in a building. Machine learning for use in medical diagnostics. Practising a hazardous operation in a ship simulator. Virtual prototyping to simulate and visualize new product designs. Simulation is used in all engineering disciplines and fields of science, business and industry, the public sector and teaching.

In the master’s degree in simulation and visualization, you learn simulation methods for use in your own discipline. The aim of the programme is to educate innovative engineers who can use leading-edge expertise in simulation and visualization to solve complex problems.

You are eligible for admission with a bachelor’s degree in engineering disciplines such as computing, construction, product and systems design, cybernetics, or in the exact sciences such as physics or biology. If you have a job and need to use simulation methods, you can study part-time.

The programme consists of various methods such as simulation of dynamic systems, artificial intelligence, swarm intelligence, machine learning and Monte Carlo simulation. But you will also learn how a commercial ship simulator works.

In the master’s programme in simulation and visualization, you also learn methods of data visualization and interactive computer graphics for interpreting simulation results, or to make simulations lifelike.

Programming is a natural part of most courses. Students will therefore learn programming in this master’s degree, but please note that previous knowledge of programming is highly recommended.

The main purposes of the master’s degree programme are:

• To develop skills in a variety of effective simulation methods that can be used directly in dynamic systems, stochastic simulation and artificial intelligence, to solve complex problems in your own field of study, and with direct relevance to business and industry.
• To be able to conduct simulation experiments in these fields, including system modelling, implementation of algorithms, execution of simulations, visualization and interpretation of results.
• To be able to build a simple simulator, including a simulation system and computer graphics.

The courses throughout the master’s programme are taught from a low level (theoretical understanding and low-level programming) to a high level (practical application in cases from business and use of existing software).