Non-Life Insurance Mathematics

Postgraduate course

Course description

Objectives and Content

Topics covered are premium calculations, bonus systems and credibility theory. A further topic is the analysis of the risk process, including ruin theory. The calculations of total loss distributions is covered and also loss reserving methods.

Learning Outcomes

The course is meant to give a broad introduction to central issues in non life insurance such as premium estimation, loss reserving, reinsurance methods and general risk theory.

Semester of Instruction

Every second autumn - even-numbered years.
Required Previous Knowledge
The course is based on a least 30 ECTS Mathematics and 40 ECTS Statistics.
Recommended Previous Knowledge

Calculus, Linear Algebra, Statistics, Statistical Inference, and Stochastic Processes, corresponding to the courses MAT111, MAT112, MAT121; STAT110, STAT111, STAT210, and STAT220.

Forms of Assessment

Written examination: 5 hours

Examination support materials: Non- programmable calculator, according to model listed in faculty regulations

Examination only once a year.

Grading Scale
The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.