Data Science in Insurance
Aarhus University
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.
Location | Aarhus, Denmark |
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Period |
22 Jul 2019
- 2 Aug 2019
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level | Master / Graduate |
Credits | 5.0 ECTS |
Program fee | 345 EUR |
Accommodation fee | 490 EUR |
Extra information about the
fee: Exchange students: No Fee Freemovers, EU/EEA: 345 EUR Freemovers, NON-EU/EEA: 858 EUR Books, course materials, social programme, and housing are not included in the fee. |
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Application deadline | 1 April 2019 |
Entry
requirements: Course specific: A Bachelor's degree in Economics and Business Administration or a related degree. General: Exchange students: nomination from your home university Freemovers: documentation for English Langauge proficiency You can read more about admission here: https://international.au.dk/education/admissions/summeruniversity/how-to-apply/ |
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Contact information: |