The MSc programme includes compulsory coursework in various types of actuarial mathematics and financial theory. There is also a large elective part where you can specialise in one of these areas, or perhaps in related mathematical or statistical problems. This specialisation continues with a master's thesis where you work at a scientific level with an insurance-related problem.
The concluding thesis project will often be based on a practical insurance-related problem. In many cases, the thesis is carried out in cooperation with an insurance company.
If you choose to study actuarial mathematics, you will be engaged in the development and application of mathematical, statistical and economic tools. These tools can be used to model, measure and manage insurance risks.
As an actuarial mathematics student, you will be studying three overarching topics intensively:
- Life Insurance Mathematics – Life insurance mathematics deals with insurance in relation to major life events and includes retirement, death, disability and marriage. This typically incorporates long-term business and significant financial risk.
- Non-Life Insurance Mathematics – Non-life insurance mathematics deals with insurance covering damage or injury to things or persons, typically in relation to fire, natural disasters, theft and the like. It typically incorporates short-term business with significant catastrophe risk.
Compulsory courses: 45 ECTS
Restricted elective courses: 15 ECTS
Elective courses: 30 ECTS
Master's thesis: 30 ECTS
|Block 1||Block 2||Block 3||Block 4|
|Year 1||Stochastic Processes in Non-Life Insurance||Quantitative Risk Management|
|Stochastic Processes in Life Insurance||Continuous Time Finance||Topics in Life Insurance||Topics in Non-Life Insurance|
|Restricted elective course|
Restricted elective courses
You are obliged to choose at least two restricted elective courses from the list below. Click on each course for a detailed description.
- An Introduction to Large Deviations (the course is not offered in the academic year 2019/20)
- Optimal Stopping With Applications
- Computational Finance
- Applied Probability
- Introduction to Extreme Value Theory
- Advances in Life Insurance Mathematics
- Machine Learning Methods in Non-life Insurance
- Consumption-Investment-Insurance Problems (the course is not offered in the academic year 2019/20)
- Advanced Topics in Modern Life Insurance