Actuarial Data Science

An initiative of the Swiss Association of Actuaries

Actuarial Data Science Lectures / Courses

We give an overview of lectures and courses in Actuarial Data Science which we consider to be useful for the profession.

Lectures in Actuarial Data Science

Data Analytics for Non-Life Insurance Pricing, ETH Zurich, M.V. Wüthrich and C. Buser
Statistical Machine Learning and Data Analytic Methods for Risk and Insurance, ETH Zurich and Heriot-Watt University, G. Peters

Courses in Actuarial Data Science

Insurance Analytics, A Primer, University of Lausanne and Swiss Association of Actuaries, M. Denuit and J. Trufin, 13th-17th August 2018. (The course slides are not publicly available, so please contact the lecturers for providing you the slides. The exercises are publicly availabe on GitHub).

Courses in Actuarial Science with "a Data Science touch"

We can recommend the following lectures / courses / books in the traditional area of actuarial science, but having a "Data Science touch":

Computational Actuarial Science with R, CRC Press, A. Charpentier.

Updates

Below, we provide the most recent changes to the website:

22th Jan 19: Publication of our third tutorial: Nesting Classical Actuarial Models into Neural Networks
25th Oct 18: Publication of code on GitHub for both tutorials.
6th Aug 18: Publication of our second tutorial: Insights from Inside Neural Networks.

Events

Below, we provide upcoming events in Actuarial Data Science:

Strategy

The actuary of the 5th kind has its core skills in Mathematics, Statistics and Computer Science.