Data science and Actuarial science Master’s Degree

A high-level master actuarial science and data science program offered in partnership with Université du Mans. This master's program enables students to develop dual expertise in actuarial modeling and data analysis.

Language: Bilingual (French or English)

Level : Master’s

Duration :4 Semesters (2 years)

Bachelor’s degree (Bac+3) or above

Program objectives

Enable students to acquire dual expertise in actuarial modeling and data science to address the new challenges of insurance, finance, and healthcare, while benefiting from scholarship opportunities for eligible students.

Target Audience

Graduates with a bachelor's degree in mathematics, economics, statistics, or computer science
Insurance-sector professionals looking to specialize in actuarial science and data science

Programs offered in partnership with Université du Mans.

Skills Developed

Advanced actuarial techniques (pricing, reserving, solvency)
Data analysis using Python, R, and specialized software
.
Machine learning applied to insurance
Project management and regulatory monitoring

Career Prospects

Actuary
Insurance Data Scientist
Quantitative Analyst
Risk Manager
Actuarial Consultant

Curriculum by semester

Semester 1 — Fundamentals of Probability and Statistics

Probability and Numerical Probability I
Statistics, Data Analysis, and Data Processing
Non-Life Actuarial Science I
Introduction to Life Insurance: Protection, Health, Savings, and Retirement
Programming Tools: Python, VBA, and Power BI
Relational Database Processing (SQL)
Professional English
Professional Integration preparation
Risk Economics and Legal Environment

Semester 2 — Machine Learning and Advanced Modeling

Probability II and Monte Carlo Methods II
Statistics II: Fundamental Tools for Data Processing
Introduction to Programming with R
VBA Programming II
Life Actuarial Science II & Non-Life Actuarial Science II
Financial Models and Risk Theory
Machine Learning with Python
Optimization and Machine Learning
Insurance Contract Law
Macroeconomic Risks and Financial Cycles
English + TOEIC Preparation
Corporate Seminars

Semester 3 — Data Science and Advanced Actuarial Science

Stochastic Models for Actuarial Science and Finance: Theory, Practice, and Calibration
Statistics and Time Series for Actuarial Science and Finance
Advanced Data Analysis II
Advanced Database Management
Regulation and Accounting of Insurance Organizations (Solvency II)
Non-Life Actuarial Science and Reinsurance
ERM (Enterprise Risk Management) and Asset-Liability Management (ALM)
Modeling Contemporary Risks and Sustainability
Machine Learning: Stochastic Optimization and Big Data Analytics (PySpark)
Deep Learning for Actuarial Science
English and TOEIC Test
Professional Communication

Semester 4 — Professional Internship

Partnerships & professional immersion

Students in this financial analysis degree benefit from privileged access to leading companies in finance and insurance sectors through:

- Supervised internship opportunities within insurance companies, commercial banks, consulting firms, and asset management companies
- Industry expert presentations integrated into courses and seminars to strengthen practical learning
- Real-world case studies provided by our partners, ensuring strong professional and industry-oriented training