ECTS
120 credits
Duration
2 years
Training structure
Faculty of Economics
Language(s) of instruction
French
Presentation
Actuarial Science is part of the Money, Banking, Finance and Insurance program.
This program provides the theoretical and methodological knowledge necessary to pursue a career as an actuary and to prepare future researchers in this field.
- What is an Actuary?
Professional specializing in the application of probability and statistics to insurance, finance and social welfare issues.
To do this, he or she analyzes the financial impact of the risk and estimates the future flows associated with it. The actuary uses mathematical techniques, mainly derived from probability theory and statistics, to describe and model certain future events in a predictive manner, such as, for example, the length of human life, the frequency of claims or the magnitude of the associated financial losses.
Objectives
This Master has for objective :
- To allow students to acquire actuarial methods and tools and to confront them with their professional practice
- To provide the theoretical and methodological knowledge necessary to pursue a career as an actuary and to prepare future researchers in this field.
- To master the concepts, techniques and methods of actuarial science.
- To be able to organize, analyze and synthesize the processing of information and results.
- To manipulate large databases
- To master the most powerful software / computer languages:
SAS, R, C++, SQL ...
- To specialize in theoretical and quantitative areas related to risk management (Basel 3 and Solvency 2) based on statistical or stochastic modeling.
Organization
Special arrangements
Study and exam accommodations are possible for students with disabilities and/or high-level athletes.
Program
See the Terms and Conditions of Knowledge Control
Theoretical econometrics
5 creditsMarket Finance
4 creditsMonetary and financial macroeconomics
3 creditsForecasting methods
5 creditsAlgorithms and Programming
3 creditsData mining and big data
Data warehouse
Language selection list
Your choice: 1 of 2
English for Finance 1
2 creditsSpanish 1
Economics of Bancassurance
3 credits
Introduction to stochastic calculus
4 creditsCorporate Finance
4 creditsIntroduction to SAS
2 creditsActuarial models in Excel VBA
3 creditsTime series econometrics
5 creditsTechnical analysis
2 creditsApplied econometrics project
5 creditsActuarial techniques
3 creditsYour choice: 1 of 2
Financial English 2
2 creditsSpanish 2
2 credits
Optional
Financial markets and financial theory
2 creditsProfessionalization conferences
Trading algorithm
1 creditsPortfolio management under R
1 creditsNon-Life Actuarial
3 creditsFinancial analysis (Banque de France)
1 creditsIntroduction to artificial intelligence in Python
0.5 creditsPrimary equity market: initial public offering
0.5 creditsStochastic calculus
2 creditsEnglish for finance
1 creditsEnterprise risk management
1 creditsExploratory statistics (SAS)
1 creditsComputer techniques (VBA)
1 creditsModeling emerging risks
2.5 creditsLife Actuarial
2.5 creditsCybersecurity and cryptography
1 creditsEconometrics applied to finance
2 creditsEconometrics of financial markets
2 creditsFinancial Big Data
1 creditsFinTechs, Block-Chain and Crypto-currencies
1 creditsNumerical Methods in Actuarial Science "VBA
2 creditsBanking and insurance regulations
1 credits
Admission
Conditions of access
CANDIDATES:
How to register
Registration is carried out during the registration period after a favourable opinion on a Master's degree application.
Capacity
40 students in the first year of the Master's program
30 students in the second year of the Master's program
And then
Professional integration
"This training is quite rich overall. It allows you to have a general vision of Finance by touching at the same time several fields. I particularly liked the lessons in Trading Algorithm, Market Finance, Forecasting Method which allow to deepen the knowledge in Market Finance and to understand the functioning of financial markets.
There are no secrets to success, it is imperative to attend classes and tutorials in order not to lose the course quickly. It is also important to consult the examination books before each exam session in Master 1.
Finally, the biggest positive point is to be able to go on an internship in Master 1 (optional internship) and Master 2 (mandatory internship). This allowed me to create a network in my field of activity, to have my first experiences in the professional world and above all to be less apprehensive about each job interview I had.
G. H. Former student of the Actuarial Science program