ECTS
120 credits
Duration
2 years
Training structure
Faculty of Economics
Language(s) of instruction
French
Presentation
This program trains banking finance professionals and researchers in this field.
He offers modern programming practices combined with statistical methods applied to large financial databases, with the ultimate goal of managing banking risks.
This course constantly takes into account developments in the banking sector, particularly changes in the field of banking risk analysis. In recent years, banking professions have undergone profound changes. These changes in banking professions and the globalization of operations have given rise to new risks. International operations now account for a growing share of credit institutions' on-balance-sheet and off-balance-sheet activities, while market interventions are becoming more diverse and complex. These developments have given rise to new types of risk and altered the factors of financial fragility that can affect the quality of the situation of banking players. As a corollary, banking supervisory authorities have imposed prudential rules to prevent banks from failing. These rules are part of preventive action programs aimed at promoting the stability of domestic banking systems.
This new training program enables participants to integrate the regulatory constraints of Basel III into the measurement of banking risks such as liquidity risk, asset and liability management (ALM), etc.
The aim is to equip students with three types of skills: expertise in quantitative methods (econometrics, analysis of large databases, etc.), risk analysis (particularly banking risk) and banking regulation, and proficiency in IT tools (SAS, R, VBA, Python, etc.). The quantitative courses in this master's program are held in the MUSE Trading Room.
These skills provide students with powerful tools for measuring the risks faced by financial institutions, enabling them to join risk control departments.
Strong ties have been established over many years with regional and national professionals, such as the Regional Director of the Ecole Supérieure and the Regional Delegate of the French Banking Federation. Many professionals contribute to the Master's 2 program, either through lectures or through the EU's professionalization conferences. These professionals share their professional experiences and explain the careers that are open to students upon completion of the Master's program. Internships are often obtained as a result of these presentations.
Conferences on Big Data, Artificial Intelligence (Python programming), etc. are organized by Data Scientist specialists.
Students thus benefit from excellent professional training based on solid theoretical knowledge and professional application by recognized experts in the field through supervised projects or professional conferences . This enables the vast majority of graduates to find employment within six months of completing their Master's degree. The employment rate is over 77%.
The advantages of the training program
- RARE SPECIALIZATION IN THE OCCITANIE REGION
- ADVANCED QUANTITATIVE SKILLS DEVELOPMENT
- PROFESSIONAL INTEGRATION AND NATIONAL VISIBILITY
Objectives
The objective of this program is to equip students with three types of skills: expertise in quantitative methods (econometrics, analysis of large databases, etc.), risk analysis (particularly banking risk and banking regulations), and proficiency in IT tools (SAS, R, VBA, Python, etc.).
- Provide students with the skills necessary to work as risk analysts (analyzing different types of risk: credit risk analyst, operational risk analyst, compliance risk analyst, liquidity risk analyst, asset and liability management (ALM), risk manager within banking institutions, etc.). ) to be able to propose personalized solutions in the field of risk management (assessment of complex product risks, construction of structured products or complex portfolios, etc.).
- Provide students with the skills necessary to conduct research within public organizations and to understand regulations and financial and banking operations, to detect, assess, and model risks, and to evaluate financial and banking products.
- Master financial modeling tools and banking econometrics, which will enable you to apply for positions as a financial risk analyst and in back-office functions.
-Acquire technical training based on handling large financial databases at multiple frequencies, combined with the most powerful computer software
-Acquire sufficient knowledge to apply for doctoral contracts and/or enroll in a doctoral program.
- Possess computer skills and know how to model and use computer tools, software, or software packages commonly used in the markets (SAS, VBA, etc.).
- Master financial modeling tools and banking econometrics, which will enable you to apply for jobs as a market operator, portfolio manager, financial risk analyst, or in back-office functions.
- The ARB training program implementstools to help students succeed. The program benefits from the involvement of a professional who helps students prepare for their internship and job search. The following actions are implemented: CV and cover letter writing, preparation for the internship search and job interviews. Job search support workshops (CV, cover letter, etc.) and job interview preparation sessions (recruitment process, types of interviews, etc.). In addition, mock interviews with a recruiter (professional) and a master's degree teacher are scheduled.
Know-how and skills
Know-how
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Analyze and model banking and financial risks
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Exploiting and processing large financial databases
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Developing and evaluating complex financial products
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Use financial and econometric modeling tools
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Develop and use computer tools to aid decision-making (SAS, R, Python, VBA)
Skills
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Proficiency in quantitative methods and banking econometrics
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Expertise in financial risk management and analysis
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Knowledge of banking operations and regulations
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Proficiency in computer and statistical tools applied to finance
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Ability to analyze, synthesize, and conduct applied research
International dimension
Starting in their second year, students can spend a year (two semesters) at one of the 60 universities with which the Faculty of Economics has partnerships through the ERASMUS+ exchange programs, inter-university agreements, and CHARM-EU.
Organization
Knowledge assessment
The Master's programs at the Faculty of Economics are structured over two years and four semesters, based on an assessment system designed to measure students' learning progressively and comprehensively. At the end of each semester, the skills, competencies, and knowledge acquired in each Teaching Unit (UE) are assessed in one of two ways: continuous assessment or a final exam.
Continuous assessment allows for regular monitoring of student progress through several forms of evaluation: supervised assignments, graded tutorials, presentations, projects, document analysis, and active participation in class. This method encourages attendance, regular work, and the gradual acquisition of skills.
The final exam consists of a written or oral test held at the end of the semester. It aims to assess the student's overall mastery of the concepts taught and their ability to apply their knowledge in a structured and in-depth manner.
Depending on the course units, teaching methods, or learning objectives, some units may combine both assessment methods. These methods ensure fair and diverse assessment that is tailored to the nature of the course, while allowing students to develop methodology, rigor, and autonomy throughout their academic career.
Special facilities
Students with disabilities, young entrepreneurs, and high-level athletes can benefit from personalized support.
This may take the form of study arrangements, educational adaptations, or specific rights, in order to enable them to best balance their personal or professional constraints with their university education. Depending on the situation, these measures may include an adapted schedule, adjusted assessment methods, attendance facilities, individualized monitoring, or dedicated support services.
Program
The program lasts two years, or four semesters.
– 120 ECTS credits
– Initial and continuing training
Choose one of two options:
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
Choose one of two options:
English for Finance 2
2 creditsSpanish 2
2 credits
Introduction to Stochastic Calculus
4 creditsCorporate finance
4 creditsIntroduction to SAS / Excel VBA
2 creditsBanking techniques
3 creditsTime series econometrics
5 creditsTechnical analysis
2 creditsApplied econometrics project
5 creditsFinancial Mathematics in Excel VBA
3 credits
Professional development conferences
Financial markets and financial theory
2 creditsNumerical methods in banking "VBA"
2 creditsTrading algorithm
1 creditPortfolio management under R
1 creditFinancial analysis (Bank of France)
1 creditPrimary stock market: initial public offering
0.5 creditsStochastic calculus
2 creditsOperational and compliance risks
2 creditsFinancial English
1 creditIntroduction to Artificial Intelligence in Python
0.5 creditsExploratory statistics (SAS)
1 creditComputer techniques (VBA)
1 creditFinancial big data
1 creditCredit risk
2 creditsCybersecurity and cryptography
1 creditEconometrics applied to finance
2 creditsFinancial market econometrics
2 creditsAsset-liability management (ALM)
2 creditsInterest rate risks
2 creditsFinTechs, Blockchain, and Cryptocurrencies
1 creditNumerical methods in actuarial science "VBA"
2 creditsProgramming in R
Banking and insurance regulations
1 credit
Introductory seminars on research
OPTION 1
30 creditsChoose 1 or 2 from 2
Research thesis as part of a research program
30 credits3- to 6-month internship
30 credits
Admission
Admission requirements
- For Master's 1: Holder of or currently pursuinga bachelor's degree (or equivalent, three years of higher education) in economics or a similar field, recognized in France or Europe.
- For the Master 2: Have completed at least 4 years of higher education (Bac +4 / 240 ECTS) in fields related to economics or similar. A strong academic record and, in some cases, professional experience are valued.
economie.edu.umontpellier.fr/applications/
Registration procedures
First year of master's degree
If you wish to apply for admission to Master 1, you must submit your application on the Mon Master platform .
Second year of master's degree
To gain equivalent access to the second year of the master's program, the ecandidat procedure is mandatory.
Further information: economie.edu.umontpellier.fr/candidatures/candidatures-et-admissions/
Target audience
Students from the Montpellier Academy, the Occitanie region, France, and internationally
Tuition fees
Tuition fees are set each year by the Ministry of Higher Education. They are accompanied by the Student and Campus Life Contribution (CVEC).
The entire program is free for students receiving scholarships.
Capacity
40
Recommended prerequisites
A good level inmicroeconomics, macroeconomics, mathematics, statistics, and econometrics is essential. Depending on the desired career path, certain options may be valued.
And after
Continuing education
Master's degree graduates can continue their studies, particularlyin economics, in France or abroad, especially those who are interested in research or higher education. Additional specialized training (university degrees) may also be considered depending on career plans.
Professional integration
Purpose of the master's degree
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Professional goal: direct entry into the job market
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Research objective: possibility of pursuing a doctoral degree depending on the quality of the applied research thesis
Audience and objective
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Training of high-level executives destined for careers in the banking and financial sector
Career opportunities (main)
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Risk analysis and management (credit, operational, liquidity, compliance)
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Compliance, internal control, and audit
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Portfolio management and structured finance
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Data, statistics, and information systems (Data Analyst, Data Scientist, Business Analyst)
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Market roles (trading, middle/back office, quantitative analyst assistant)
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Financial, wealth management, and banking and insurance advice
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Research and higher education
Institutions and employment sectors
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Commercial and investment banks
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Central banks and public institutions
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Asset management companies and insurance companies
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Audit, consulting, and accounting firms
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Major national and international financial institutions