Advanced Topics in Modern Life Insurance

Course content

Selection of topics related to modeling, reserving, and pricing for life insurance and pensions with a strong connection to present research. Topics may include but are not limited to: policyholder behavior, state-wise projection of reserves, projection of balances in life insurance, risk-margin calculations, and market consistent valuation.


MSc Programme in Actuarial Mathematics

Learning outcome

At the end of the course the student is expected to have:

Knowledge about selected topics in modern life insurance mathematics.

Skills to formulate practical problems in life insurance mathematics in a theoretical framework.
Skills to orally present the key aspects of the topics covered in the course and to apply theory from the course.

The course will strengthen the student's competences to navigate inside the classic Markov life insurance setup and develop the student's ability to formulate and handle new models inside this setup.


4 hours of lectures each week for 7 weeks. In addition to this, 2 hours of exercise classes each week where the students can work on their mandatory homework set.

The course literature will primarily consist of research papers from actuarial journals, which will be made available on Absalon.

Stochastic Processes in Life Insurance (LivStok) and Topics in Life Insurance (Liv2).

Academic qualifications equivalent to a BSc degree is recommended.

Feedback by final exam (In addition to the grade)
7,5 ECTS
Type of assessment
Oral examination, 30 min, no preparation time
Without aids
Marking scale
7-point grading scale
Censorship form
No external censorship
Several internal examiners.
Criteria for exam assessment

The student must in a satisfactory way demonstrate that he/she has mastered the learning outcome of the course.

Single subject courses (day)

  • Category
  • Hours
  • Lectures
  • 28
  • Preparation
  • 163
  • Theory exercises
  • 14
  • Exam
  • 1
  • English
  • 206


Course number
7,5 ECTS
Programme level
Full Degree Master

1 block

Block 4
No limit
The number of seats may be reduced in the late registration period
Study Board of Mathematics and Computer Science
Contracting department
  • Department of Mathematical Sciences
Contracting faculty
  • Faculty of Science
Course Coordinator
  • Anna Kamille Nyegaard   (6-6d727c353b3a42636e776f706b306d7730666d)

Anna Kamille Nyegaard

Saved on the 09-12-2021

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