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EAA Web Session |
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| Actuarial Data Science - Advanced |
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| 24-26 September 2025 | 9:00-17:00 CEST |
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Organised by the EAA - European Actuarial Academy GmbH in
cooperation with the Aktuarvereinigung Österreichs (AVÖ).
This is part two of four courses required to obtain the EAA
Certificate in Actuarial Data Science. To earn the certificate,
participants must complete all four modules, which include both the
seminar and the exam. Members of AVÖ and/or DAV will obtain the
additional title Certified Actuarial Data Scientist (by AVÖ and/or
DAV) by fulfilling the same requirements.
Furthermore, all courses are open to interested actuaries to
deepen their knowledge and skills in the field of Actuarial Data
Science (without exams).
Introduction
Due to technological progress in connection with Data Science and
Digitalization, summarized under the buzzword Big Data, a plethora
of opportunities and challenges for the industry is arising.
Technological developments have now also reached the insurance
industry and thus have a direct impact on the working world of
actuaries.
Under the heading Actuarial Data Science, the procedures and
methods of data mining are embedded in the actuarial context. These
range from mathematics-driven statistical methods for derivation of
insights from data to computation-driven methods sometimes
summarized as machine learning. As a result of almost unlimited
computing capacity through cloud computing and wide availability of
training data, tried and tested methods of machine learning, such
as artificial neural networks, are experiencing a renaissance in
theory and practice.
Based on the building blocks known from Basic, we want to deepen
some topics and present further important topics from the field of
Actuarial Data Science.
In this three-day training, we cover a wide range of topics. This
includes an advanced introduction to the concepts and terms of
artificial intelligence, modern data management concepts (with a
special look at insurance companies), aspects of data protection
and the mathematical and statistical concepts of data mining. On
our way, we touch different use cases in the actuarial environment.
To this end, we provide a brief insight into the widely used
language Python. The training rounds off with principles for the
ethical handling of artificial intelligence in the insurance
environment.
Early-bird discount is available for bookings made by 13
August 2025. |
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Coming soon... |
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