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 specialization.
This course provides the theoretical and methodological knowledge needed to pursue a career as an actuary, and prepares future researchers in this field.
- What is an actuary?
Professional specializing in the application of probability calculus and statistics to insurance, finance and welfare issues.
To do this, they analyze the financial impact of the risk and estimate the associated future cash flows. The actuary uses mathematical techniques, mainly derived from probability theory and statistics, to describe and model certain future events in a predictive way, such as the length of human life, the frequency of claims or the scale of associated financial losses.
Objectives
The aim of this Master's degree is to :
- To enable students to acquire actuarial methods and tools and apply them to their professional practice
- To provide the theoretical and methodological knowledge needed to pursue a career as an actuary, and to prepare future researchers in this field.
- Master actuarial concepts, techniques and methods.
- Be able to organize, analyze and synthesize the processing of information and results.
- Handle large databases
- Mastery of the most powerful software / computer languages:
SAS, R, C++, SQL ...
- Specialize in the theoretical and quantitative aspects of risk management (Basel 3 and Solvency 2), based on statistical or stochastic modeling.
Organization
Special features
Special study and examination arrangements are available for students with disabilities and/or high-level athletes.
Program
See Knowledge control procedures
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
And then
Professional integration
"This course is quite rich overall. It gives you a general view of Finance, while touching on several areas at the same time. I particularly liked the courses on Trading Algorithms, Market Finance and Forecasting Methods, which enabled me to deepen my knowledge of Market Finance and understand how the financial markets work.
There are no secrets to success: you need to attend classes and seminars to stay on track. It's also important to consult the exam books before each Master 1 exam session.
Last but not least, the big positive point is the opportunity to do internships in Master 1 (optional internship) and Master 2 (compulsory internship). This enabled me to build up a network in my field of activity, to have my first experiences in the professional world and, above all, to be less apprehensive about every job interview I had."
G. H. Former Actuarial Science student