STK2500 – Life Insurance
Course description
Course content
Markov modelling, along with concepts of survival and life history data analysis, is being used to construct and identify the most useful models for life insurance. The course includes applications to setting tariffs, via equivalence methods, as well as solvency calculations and unit-link insurance.
Learning outcome
Give an introduction to the method required for analysis of the liability side of life insurance, including mathematical models, use of empirical data and calculations using a computer.
Admission
Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.
If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.
Prerequisites
Formal prerequisite knowledge
In addition to fulfilling the Higher Education Entrance Qualification, applicants have to meet the following special admission requirements:
-
Mathematics R1 (or Mathematics S1 and S2) + R2
And in addition one of these:
- Physics (1+2)
- Chemistry (1+2)
- Biology (1+2)
- Information technology (1+2)
- Geosciences (1+2)
- Technology and theories of research (1+2)
The special admission requirements may also be covered by equivalent studies from Norwegian upper secondary school or by other equivalent studies (in Norwegian).
Recommended previous knowledge
STK1100 – Probability and Statistical Modelling, STK1110 – Statistical Methods and Data Analysis, STK1120 – Statistical methods and data analysis 2 (continued), MAT1100 – Calculus, MAT1110 – Calculus and Linear Algebra, MAT-INF1100 – Modelling and Computations (discontinued), INF1000 – Introduction to object-oriented programming (continued) and INF1010 – Object oriented programming (continued).
Overlapping courses
10 credits overlap with FM221