Actuarial Data Science

Lecturer

Stefan Schelling

Exercises

tba

Dates

Monday, 2:15 to 3:45 PM [HeHo 18 - E20]

Tuesday, 10:15 to 11:45 AM [HeHo 18 - E20]

First lecture: Monday, 13.04

First exercise session (getting started / programming hints): Tuesday, 14.04

Important Information

All course material will be provided via moodle.
It is strongly recommended that participants register for the course on moodle before the beginning of the semester.

Type

2/2 SWS

See LSF for the module description (including ECTS).

Prerequisites

Module „Life-, Health- and Pension-Mathematics“ is recommended but not required

Intended audience

Master students in Mathematics, Master students in Business Mathematics (Wirtschaftsmathematik), Master students in Mathematical Biometry and Master students in Finance.

Literature

Details on the literature will be provided at the beginning of the semester.

Denuit, Hainaut, and Trufin, (2019/2020). Effective Statistical Learning Methods for Actuaries I - III, Springer Actuarial Lecture Notes.
Wüthrich and Buser (2020). Data analytics for non-life insurance pricing. Swiss Finance Institute Research Paper
Wüthrich, Richman, Avanzi, Lindholm, Maggi, Mayer, Schelldorfer, Scognamiglio (2025). AI Tools for Actuaries.