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Exploring the
EAA Certificate in Actuarial Data Science

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Welcome to the Newsletter on the EAA Certificate in Actuarial Data Science!

Organised by the EAA - European Actuarial Academy GmbH in cooperation with the Aktuarvereinigung Österreichs (AVÖ).

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 consisting of four modules:

1. Actuarial Data Science Basic
2. Actuarial Data Science Advanced
3. Actuarial Data Science Immersion
4. Actuarial Data Science Completion

We invite you to explore 'Actuarial Data Science - Basic' in Vienna and mark your calendars for our Web Session 'Actuarial Data Science - Advanced':

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This seminar is the first part of a 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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This web session is the second part of our four-part series. Throughout this session, you will delve into 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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The web session 'Actuarial Data Science - Advanced' will be available online soon! Keep ahead of updates on all four modules by following this newsletter!

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Exam Dates

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actuarial-academy.com

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