Life insurance actuarial science

lactu2030  2024-2025  Louvain-la-Neuve

Life insurance actuarial science
5.00 credits
30.0 h + 7.5 h
Q1

  This learning unit is not open to incoming exchange students!

Teacher(s)
Language
French
Prerequisites
Mastery of basic concepts in statistics and probability calculation, at the level of courses in the FSA1BA, INGE1BA, MATH1BA programs or the access minor in statistics, actuarial sciences and data science.
Main themes
Pricing of life insurance products for savings, death, and unit-linked policies. Reserving, surrender, reinsurance, and profit testing.
Content
The course consists of 6 parts:
  • Introduction to the mathematics of interest
  • Mortality tables and regulatory aspects
  • Valuation of premiums and net reserves of life and death products, single and periodic premiums
  • Valuation of gross premiums and reserves
  • Technical gains, profit sharing, reinsurance, and impairment
  • Embedded value, unit-linked products, universal life, and interest rate risk provision
Teaching methods
The course consists of 13 theoretical lessons and 4 practical sessions which the student is required to attend.
Evaluation methods
The assessment consists of a written exam covering both theory and practical work, for which the student is provided with a form by the instructor.
Online resources
Moodle website
Bibliography
Les diapositives disponibles sur moodle peuvent être complétées si besoin par
  • Théorie et pratique de l’assurance vie. Michel Fromenteau et Pierre Petauton. 5ième édition 2017, Dunod.
  • Actuarial Mathematics for Life Contingent Risks. Dickson, D.C.M., Hardy, M.R., Waters, H.R. 2009, Cambridge University Press.
Teaching materials
  • Exercices (rédigés en Français) et diapositives (rédigées en Anglais), format pdf, disponible sur Moodle.
Faculty or entity


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [120] in Mathematics

Master [120] in Actuarial Science

Master [120] in Mathematical Engineering

Master [120] in Data Science Engineering

Master [120] in Data Science: Information Technology