Denmark, Aarhus

Data Science in Insurance

when 22 July 2019 - 2 August 2019
language English
duration 2 weeks
credits 5 EC
fee EUR 345

Insurance companies bring security to society by offering protection against financial losses. Through the pooling of similar risks, insurers allow to trade uncertainty for certainty by transferring the risk from individuals facing the loss to the insurer, in exchange for a premium. Non-life (e.g. motor, fire, liability), life and health insurers work in a data driven business, and are constantly confronted with the challenges created by rapidly increasing technical and computer facilities for data collection, storage and analysis. Predictive modeling (or: insurance analytics) is a cornerstone of the insurance industry.

This course explains the working principles of insurance and the many tasks within insurance where predictive modeling is relevant

Course leader

Katrien Antonio

Target group

Master's level

Fee info

EUR 345: Any student with a preapproval from a Danish Institution or a nomination from an International Partner: No Fee

EU/EEA students without a preapproval or nomination: 345 EUR

NON-EU/EEA students without a preapproval or nomination: 858 EUR

Books, course materials, social programme, and housing are not included in the fee.


No scholarships available