Bachelor’s degree of at least 180 credits or the equivalent, including at least 90 credits in mathematics, mathematical statistics, numerical analysis, scientific calculations and computer science, of which at least 45 credits must be in mathematics that include courses in multivariate analysis and linear algebra, at least 30 credits in mathematical statistics and at least 15 credits in numerical analysis, scientific calculations and/or computer science. English course 6/English level 2 (advanced proficiency).
This Master’s programme gives you the opportunity to take a deep dive into the fascinating world of probability and chance. The entire programme is taught in English.
As a student, you will acquire solid skills in probability theory, statistical theory and methodology. You will learn a number of different methods enabling the application of mathematical statistics in fields such as biology, medicine, the environment, climate, risk management and economics.
For example, you might analyse genetic links to congenital diseases, or how a slowly changing climate can lead to extreme weather events. Statistical risk management can also be used in models concerning structural safety, and wear and tear in construction, among other areas. You will also have the opportunity to learn to work with financial applications in the form of models for pricing, optimisation of electricity trading, risk management and various forms of financial forecasting.
The Master’s programme is strongly linked to research. All teaching staff on the programme are active researchers. The proportion of teacher-directed learning is high. You practise both oral and written communication and gain good experience of collaboration in groups.