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 many relevant modern 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 such as the broadly discussed 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 neural networks, are facing much attention 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 the EAA Certificate in Actuarial Data Science.

Modules Overview

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

To obtain the 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).

This online 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.

Early-bird discount is available for bookings made by 13 August 2025. 

Due to technical issues, registration is exceptionally possible via email. Please send an email to contact@actuarial-academy.com and mention that you would like to register to 'E0503 Actuarial Data Science - Advanced'. Thank you.

This online 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.

Early-bird discount is available until today! 

Due to technical issues, registration is exceptionally possible via email. Please send an email to contact@actuarial-academy.com and mention that you would like to register to 'E0470 Actuarial Data Science - Completion'. Thank you.