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Advance Your Expertise with the
EAA Certificate in
Actuarial Data Science |
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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.
Due to the importance of this topic and to provide actuaries and
participants working in the field of (actuarial) data science with
the necessary expertise, the European Actuarial Academy offers a
brand new EAA Certificate in
Actuarial Data Science.
Modules Overview
- Actuarial Data Science Basic
- Actuarial Data Science Advanced
- Actuarial Data Science Immersion
- Actuarial Data Science Completion
To obtain the newly established EAA Certificate in Actuarial Data
Science, participants must complete all four modules (seminar and
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). |
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| Actuarial Data Science -
Basic |
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| 13-15 February 2025 | 9:00-17:00 CET |
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This seminar is the first part of the four-part
series, where we cover a wide range of topics. This includes a
basic 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 R and
development tools in the data science context (RStudio, Anaconda).
The seminar rounds off with principles for the ethical handling of
artificial intelligence in the insurance environment. |
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Actuarial Data Science -
Immersion
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| 24-26 February 2025 | 9:00-17:00
CET |
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This web session is the third part of the four-part
series. In this online training, we will expand on and deepen some
of the topics already known from the basic and advanced trainings,
discussing further important techniques in the context of deep
learning and providing further theoretical foundations. It is based
on the learning objectives of the DAV for Actuarial Data Science
Immersion, which is part of the actuarial training in Germany. |
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| SAVE THE DATE ! SAVE THE
DATE ! SAVE THE DATE ! SAVE THE DATE |
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| Actuarial Data Science -
Advanced |
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| This seminar is the second part of the four-part
series, where 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. |
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| Actuarial Data Science -
Completion |
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| This seminar is the fourth part of the four-part
series, where 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. |
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| SAVE THE DATE !
SAVE THE DATE ! SAVE THE DATE
! SAVE THE DATE |
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Exam
Dates |
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Exams in
presence:
23 May 2025 | 14:00-17:00 CEST
Exam for the module Actuarial Data Science Basic
24 October 2025, 14:00-17:00 CEST
Exam for the module Actuarial Data Science Advanced
Practical tests:
13 April - 13 May 2025
Practical test for the module Actuarial Data Science
Immersion
14 September - 14 October 2025
Practical test for the module Actuarial Data Science
Completion
further details |
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