Applied Mathematics - Master’s Year 1

The new Actuarial Science and Statistics track results from the merger of the former Actuarial Science and Statistics majors into a single program. This structure provides a solid and coherent education in applied mathematics, while allowing students to gradually specialize in actuarial science, data science, or mathematical engineering in statistics and finance through a selection of tailored electives.

Built on a foundation of required courses in probability and statistics, some of which are shared with the Advanced Mathematics major, the program also offers a wide range of electives to prepare students for their intended specialization in the Master 2 program. The major offers specialized courses in statistics (Monte Carlo methods, nonparametric statistics, research thesis), as well as advanced courses in insurance mathematics (life and non-life actuarial science, credibility, risk theory) and financial mathematics (portfolio management), with numerous practical applications that are regularly updated to reflect scientific advancements.

Most lectures are taught in English. An "English Track" allows students who wish to do so to also take tutorials in English.

​Training objectives :

• To encourage exploration of related fields such as actuarial science, finance, and data science ;
• Acquire a solid foundation in applied mathematics: probability and statistics, optimization, and numerical analysis. Engage with open-ended and current issues in applied mathematics ;
• Develop skills in advanced statistical methods, risk modeling, data analysis, and mathematical finance;