Programme overview

General outline

The master’s programme is a two-year programme. The programme is organised in semesters. Each semester contains 20 weeks, and is subdivided in two quartiles. The unit of credit is the European Credit (EC). One EC stands for 28 hours of study-load. An academic year is 60 EC. The master’s programme is 120 EC.

Programme & specializations

The educational profile of the programme is characterised on the one hand by the two specialisations within the programme and on the other hand by the attention paid to mathematical modelling. The two specialisations are based on the corresponding fields of research of the Department of Applied Mathematics, which can be characterised by the following:


Applied Analysis deals with the combination of modeling, analysis and simulation of problems from the natural, life and technical sciences with applications neuroscience and medical imaging.

Systems and Control theory has roots in electrical and mechanical engineering. It has applications in, e.g.  econometrics, process technology and informatics.  The mathematical tools include linear algebra, ordinary and partial differential equations, probability theory.

Computational Science focuses on the mathematical aspects of advanced scientific computing. The two main areas are numerical algorithms for the solution of partial differential equations and mathematical modeling of multi-scale.

Multiscale Modeling and Simulation focuses on the mathematical development and application of computational models for complex physics at micro- and macro scales.  The main application areas are in multi-phase flows and phase transitions, biomedical flows and tissue engineering, and self-organizing nano systems.


Both deterministic and stochastic operations research are strongly represented, dealing with Combinatorial Optimization, Mathematical Programming, Supply Chain Management, Queuing Theory, Telecommunications Networks, Industrial Statistics

Students choose a chair within a specialisation: Discrete Mathematics and Mathematical Programming (DMMP) or Stochastic Operations Research (SOR). By including subjects from other chairs of the selected specialisation, cohesion is created within the specialisations.

During the final phase of the master’s programme, the students act as ‘junior members’ of the chair they have selected. It is during this phase that the students are given the greatest opportunity to demonstrate that they have acquired the qualities outlined in Article 4 of the Teaching and Examination Regulations by the time they complete their studies.