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EAA Web
Session |
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Actuarial
Data Science - Completion |
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3-5
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 four 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 the preceding courses, we
want to deepen some topics and present further important topics
from the field of Actuarial Data Science.
In this three-day training, we deepen techniques and methods of
(Actuarial) Data Science and take a rather theoretical tour to
complete this course. We will cover important aspects of
information theory from coding theory to web computing and close
the mathematical foundations of deep learning. Along with insights
in relevant aspects of insurance analytics we will investigate use
cases in an insurance context. Finally, we will give a prospect of
what is probably going to emerge in the future, namely quantum
computing.
Early-bird discount is
available for bookings made by 23 July 2025. |
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Coming
soon... |
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