This programme no longer admits students

Learning outcomes

This master’s degree will help you become a vocational mathematician with the ability to analyse, understand and solve advanced problems in finance, insurance and technology. Emphasis is placed on specialisation in methods in mathematics and information technology, and how these are used to analyse problems in which uncertainty plays a central role. As a student of finance, insurance and risk, you will become an expert on applying mathematics and computers to solve concrete problems.

At the same time, you will gain experience in presenting results.
Those who specialise in insurance learn insurance technical and financial methods in which time series and stochastic analysis have a central position. Industrial risk approaches problems via Bayesian statistics and reliability analysis. Both these specialisation options focus on extensive use of information technology. Mathematical finance is a specialisation with a more theoretical emphasis, including a more thorough introduction to stochastic analysis and finance theory.

Your master’s thesis work enables you to gain greater expertise in the techniques and methods used in the specialisation you choose. You learn to study a significant problem from real life, entailing combining various aspects of what you learned earlier in your studies. You will also gain experience in both spoken and written presentation of your results.

Published June 6, 2012 10:00 AM