Targeted level of study
BAC +5
ECTS
120 credits
Duration
2 years
Training structure
Faculty of Economics
Language(s) of instruction
French
Presentation
The Master's degree in Money, Banking, Finance and Insurance includes 5 courses:
- Market Risk Analysis Course
- Banking Risk Analysis Course
- Actuarial course
- Financial engineering course
- Economic and Financial Information System course
The advantages of the training
- Since 2019, the Faculty of Economics is equipped with a trading room that implements innovative pedagogical practices in concrete trading situations, and analysis of financial data and information.
- It is the only master's degree in the Hérault department and in the region that offers a real opportunity for students to consider a career in financial engineering. It is worth mentioning that this is one of the rare courses in financial engineering within a faculty of economics in France.
Objectives
The Market Risk Analysis course provides a mastery of the organization and operation of the most common financial products (stocks, bonds, etc.) as well as speculative markets (energy, raw materials, commodities, etc.).
The Banking Risk Analysis course provides skills in the tools for modeling banking risks and the banking environment. A good knowledge of banking operations and products.
The Actuarial Science program allows students to acquire skills in actuarial methods and tools and to confront them with their professional practice. Theoretical and methodological knowledge necessary to pursue a career as an actuary and to prepare future researchers in this field.
The Financial Engineering course provides advanced financial engineering techniques, techniques that allow the integration of the global dimension of the problems to be dealt with and their strategic stakes, and is open to the international environment.
The Information System track allows students to acquire skills in computer science, information system modeling, and economic and financial data mining.
Know-how and skills
This mention allows :
- To provide students with the skills necessary to exercise the professions of risk analysts (analyzing the different types of risk) in order to be able to propose personal solutions in the field of risk management (risk assessment of complex products, construction of structured products or complex portfolios ...), and actuarial science.
- Provide students with the skills to conduct research in government agencies and to understand financial and banking regulations and operations, to detect, assess and model risks, and to evaluate financial products
- Master the tools of financial modeling as well as financial and banking econometrics and financial engineering techniques that allow students to apply for jobs as market operators, portfolio managers, financial risk analysts and back office functions, actuary analysts.
- Acquire sufficient knowledge to apply for the Doctoral Contracts competition and/or to enroll in a Doctoral program
- Have computer knowledge and know how to model and use computer tools, software or software packages often used in the markets.
Organization
Special arrangements
Study and exam accommodations are possible for students with disabilities and/or high-level athletes.
Internships, tutored projects
Internship | Possible |
|---|---|
Internship abroad | Possible |
Optional internship in Master 1 :
This internship must be directly related to the training and must take place outside of class time.
No time limit, but must not end later than August 31.
Compulsory internship in Master 2: From 3 to 6 months maximum (924 hours maximum)
Starting date: February - March / ending date: September 30
Program
The Master is organized in 2 years: Master 1 and Master 2
Select a program
Market risk analysis (MBFA MENTION)
This program trains professionals in market finance and researchers specialized in this field. It offers specialized teaching in the theoretical and quantitative fields related to products traded on financial markets. In particular, it deals with the determination of risk management through the use of statistical methods.
This course is a continuation of what has been done until the academic year 2020-2021 with developments that allow the integration of changes in the risk analysts' jobs. In particular, it is a question of integrating the regulatory constraints of Basel III in the measurement of market risks (calculation of Value at Risk (VaR), Expected shortfall (ES), and their validation (backtesting). The objective is to provide students with effective tools for measuring and hedging the risks faced by financial institutions (banks and insurance companies). The skills acquired at the end of their training in market risk analysis, students will be able to integrate the risk control departments.
Your choice: 1 of 2
English for Finance 1
2 creditsSpanish 1
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
Economics of Bancassurance
3 credits
Introduction to stochastic calculus
4 creditsAsset valuation
3 creditsCorporate Finance
4 creditsIntroduction to SAS
2 creditsPortfolio allocation
3 creditsTime series econometrics
5 creditsTechnical analysis
2 creditsApplied econometrics project
5 creditsOptional
Your choice: 1 of 2
Financial English 2
2 creditsSpanish 2
2 credits
Numerical methods
3 creditsFinancial markets and financial theory
2 creditsVBA programming
1 creditsStochastic calculus
2 creditsPortfolio management
4 creditsEnglish for finance
1 creditsTrading algorithms
2 creditsData mining and big data
3 creditsExploratory statistics (SAS)
1 creditsComputer techniques (VBA)
1 creditsMarket risks
4 creditsEconometrics of finance
2 creditsProgramming on R, Python
1 credits
Banking risk analysis (MBFA MENTION)
This program trains banking finance professionals and researchers in this field.
It offers the modern practice of programming associated with statistical methods applied to large financial databases, with the aim of managing banking risks.
This course takes into account the constant evolution of the banking sector, in particular the changes in the banking risk analysts' jobs. Over the last few years, the banking professions have undergone profound changes. This evolution of banking professions and the globalization of operations have generated new risks. Indeed, international operations represent an increasing part of the balance sheet and off-balance sheet activities of credit institutions, while market interventions are diversifying and taking more complex forms. These developments have generated new types of risks and have modified the factors of financial fragility that can affect the quality of the situation of banking players. As a corollary, the banking supervisory authorities have imposed prudential rules in order to avoid the failure of banks. These rules are part of preventive action programs aimed at promoting the stability of domestic banking systems.
This new training offer allows the integration of Basel III regulatory constraints in the measurement of banking risks such as liquidity risk, asset liability management (ALM)...
The objective is to provide students with three types of skills, know-how in the mastery of quantitative methods (econometrics, analysis of large databases ...), in the analysis of risks in particular banking and banking regulation and mastery of computer tools (SAS, R, VBA, Python ....). The courses of this master in quantitative subjects take place in the MUSE Trading Room.
These skills enable students to be equipped with effective tools for measuring the risks faced by financial institutions, allowing them to join risk control departments ....
Strong links have been established for many years with regional and national professionals, such as the regional director of the Ecole Supérieure, the regional delegate of the French Federation of Banks, etc. Numerous interventions by professionals are effective in the Master 2 courses or through the UE of professionalization conferences. These professionals share their professional experiences and explain the jobs they can expect to do after completing the master's degree. Internships are often obtained after these interventions.
Conferences on Big Data, Artificial Intelligence (programming in Python), ..... are organized by Data Scientist specialists.
Students thus benefit from a very good professional training based on solid theoretical knowledge and on professional application by recognized experts in the field through tutored projects or professionalization conferences. This allows a large majority of graduates to find a job within six months of completing their Master 2. The insertion rate is over 77%.
Your choice: 1 of 2
English for Finance 1
2 creditsSpanish 1
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
Economics of Bancassurance
3 credits
Optional
Your choice: 1 of 2
Financial English 2
2 creditsSpanish 2
2 credits
Introduction to stochastic calculus
4 creditsCorporate Finance
4 creditsIntroduction to SAS
2 creditsBanking techniques
3 creditsTime series econometrics
5 creditsTechnical analysis
2 creditsApplied econometrics project
5 creditsFinancial mathematics in Excel VBA
3 credits
Professionalization conferences
Financial markets and financial theory
2 creditsNumerical methods in VBA banking
2 creditsTrading algorithm
1 creditsPortfolio management under R
1 creditsFinancial analysis (Banque de France)
1 creditsPrimary equity market: initial public offering
0.5 creditsStochastic calculus
2 creditsOperational and compliance risks
2 creditsEnglish for finance
1 creditsIntroduction to artificial intelligence in Python
Exploratory statistics (SAS)
1 creditsComputer techniques (VBA)
1 creditsFinancial Big Data
1 creditsCredit risk
2 creditsCybersecurity and cryptography
1 creditsEconometrics applied to finance
2 creditsEconometrics of financial markets
2 creditsAsset liability management (ALM)
2 creditsInterest rate risk
2 creditsFinTechs, Block-Chain and Crypto-currencies
1 creditsNumerical Methods in Actuarial Science "VBA
2 creditsProgramming in R
Banking and insurance regulations
1 credits
Economic and financial information system (MBFA MENTION)
This course offers in-depth teaching in economics and econometrics.
It also provides students with skills in information systems modeling as well as in economic and financial data mining.
Your choice: 1 of 2
English for Finance 1
2 creditsSpanish 1
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
Economics of Bancassurance
3 credits
IS (information system) design
3 creditsDatabase handling
2 creditsProgramming techniques
2 creditsData mining and big data
3 creditsSurvey
2 creditsComputer law (Polytech)
2 creditsData warehouse
3 creditsIS (information system) modeling
3 creditsExploratory statistics (SAS)
1 creditsComputer techniques (VBA)
1 creditsData visualization design
2 creditsEconometrics
3 creditsSecurity
3 credits
Optional
Your choice: 1 of 2
Financial English 2
2 creditsSpanish 2
2 credits
Introduction to stochastic calculus
4 creditsCorporate Finance
4 creditsIntroduction to SAS
2 creditsVBA programming
3 creditsEconometrics of qualitative variables
3 creditsTime series econometrics
5 creditsTechnical analysis
2 creditsApplied econometrics project
5 credits
Choice of internship or dissertation
30 creditsYour choice: 1 of 2
M2 SIF internship
30 creditsResearch dissertation as part of a research program
30 credits
Research seminars
Actuarial Science (MBFA MENTION)
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.
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
Financial Engineering (MBFA MENTION)
This program trains professionals in financial engineering and researchers specialized in this field.
Your choice: 1 of 2
English for Finance 1
2 creditsSpanish 1
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
Economics of Bancassurance
3 credits
Your choice: 1 of 2
Financial English 2
2 creditsSpanish 2
2 credits
Introduction to stochastic calculus
4 creditsCorporate Finance
4 creditsIntroduction to SAS
2 creditsProject financing in Excel VBA
3 creditsTime series econometrics
5 creditsCorporate taxation
3 creditsTechnical analysis
2 creditsApplied econometrics project
5 creditsOptional
Merger-Scission-LBO-Bankruptcy-Restructuring
2 creditsQuantitative risk management
2 creditsFinancial markets and financial theory
2 creditsInvestment science
3 creditsPortfolio management under R
1 creditsInnovative financing operations
1 creditsFinancial analysis (Banque de France)
1 creditsAdvanced financial management "case study
2 creditsStochastic calculus
2 creditsTax optimization "Case studies
2 creditsAudit and control "case study
1 creditsEnglish for finance
1 creditsExploratory statistics (SAS)
1 creditsComputer techniques (VBA)
1 creditsInternational accounting (GAAP or IFRS)
2 creditsProject management and set-up
1 creditsPanel econometrics
2 creditsFinTechs, Block-Chain and Crypto-currencies
1 creditsBanking and insurance regulations
1 creditsStrategy and corporate governance
1 credits
And then
Professional integration
The students in this field prepare themselves globally for the many professions in banking, finance, insurance, financial engineering, as well as data processing
(data analyst) and information systems design.