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 material is not publicly available, but please contact the lecturers for providing you the course material).

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:

25th Oct 18: Publication of code on GitHub for both tutorials.
6th Aug 18: Publication of our second tutorial: Insights from Inside Neural Networks.
5th Aug 18: Publication of the ADS strategy paper..

Spotlights

In the strategy document we describe the evolution of the actuarial profession, with Actuarial Data Science being the actuary of the 5th kind.

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