Stochastic Modelling, Statistics and Risk Analysis (master's two years)

Through the master's programme in Stochastic modelling, statistics and risk analysis, you will gain in-depth knowledge of a wide range of methods and techniques for analysis and problem solving in insurance, finance, risk analysis or statistics. You will develop good theoretical insight and the ability to apply the theory to develop methods and techniques to solve problems.

You have specialized and updated knowledge within one of the main areas of the programme in insurance, finance, risk analysis and statistics.
You have deep insight, understanding and intuition within a special field that varies depending on choice of programme option and master's project.
You have solid knowledge of a wide range of methods and techniques based on mathematics, probability, statistics and computer science and can use them for analysis and problem solving.
A broad background is required to choose appropriate methods for the work on the master's project and for the problems the candidates will encounter in their professional life. How broad background a candidate will have, varies somewhat depending on choice of courses and topic for the master's thesis.

With a master's degree in Stochastic modeling, statistics and risk analysis, you have very good work opportunities in the private and public sectors. Which work areas are most relevant to you depends on your programme option, choice of courses, and topic for the master's thesis.

However, in any case, the programme will provide you with generic competence in stochastic modeling, mathematics, statistics and computer science, which makes you an attractive employee for a number of private and public enterprises.
Research institutes, e.g. Norwegian Computing Center, Institute of Marine Research and SINTEF
Statistics Norway
National Institute of Public Health, Cancer Registry of Norway, large hospitals
Public technological enterprises, e.g. Statkraft and AVINOR.
Teaching and research positions at universities and colleges.