Economics - Management

Economic and Financial Information System

  • ECTS

    120 credits

  • Duration

    2 years

  • Training structure

    Faculty of Economics

Presentation

The Economic and Financial Information Systems (SIEF) program aims to provide students with comprehensive training at the intersection of economics, finance, and information technology. The program begins with the study of economic and financial fundamentals, including macroeconomics and financial models (VAR, VECM), before focusing on quantitative subjects such as econometrics and stochastic calculus.

The IT aspect of the program is also central. Students learn about information systems, algorithms, and programming (Python, VBA, JavaScript), as well as database and data warehouse management. New technologies are explored through big data, data mining, data visualization, and artificial intelligence. Finally, the program includes the study of information system environments, with IS modeling and design, network and data security, and legal aspects related to personal data protection (GDPR).

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The advantages of the training program

  • DOUBLE COMPETENCE IN ECONOMICS AND COMPUTER SCIENCE
  • TRAINING IN CUTTING-EDGE TECHNOLOGIES
  • POSSIBILITY OF A MASTER'S DEGREE IN APPRENTICESHIP

 

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Objectives

  • Enable students to acquire dual skills: mastery of quantitative methods applied to economics and finance, and mastery of the associated IT tools.

  • Provide training in modeling and analyzing economic and financial data, including econometrics, forecasting methods, and stochastic calculus.

  • Developing mastery of information technologies: databases, data warehouses, programming, big data, data mining, data visualization, and artificial intelligence.

  • Train students to understand and design information systems in a complex economic and financial environment.

  • Raise awareness of IT and legal security issues, including cybersecurity and compliance with regulations such as the GDPR.

  • Prepare students to work in a digital environment, integrating information, data, and technology for economic and financial decision-making.

 

 

 

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Know-how and skills

Know-how

  • Analyze and model economic and financial data

  • Apply quantitative methods: econometrics, stochastic calculus, forecasting

  • Manipulate and manage databases and data warehouses

  • Develop and program computer applications and tools (Python, VBA, JavaScript)

  • Perform big data and data mining analyses, and visualize data (Streamlit, Power BI)

  • Implement forecasting and artificial intelligence models, including LLM

  • Designing and modeling information systems

  • Ensure data and system security and comply with regulations (GDPR)

 

Skills

  • Proficiency in quantitative and statistical methods applied to economics and finance

  • Ability to collect, structure, and analyze complex data

  • Ability to design and manage information systems

  • Skills in programming and use of advanced computer tools

  • Ability to integrate digital technologies and AI into economic and financial analysis

  • Understanding security and regulatory compliance issues

  • Ability to make data-driven decisions in a digital environment

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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.

https://economie.edu.umontpellier.fr/international/

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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.

 

 

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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.

https://economie.edu.umontpellier.fr/scolarite/

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Open alternately

Apprenticeships are based on the principle of alternating between academic and practical training at university and acquiring skills with an employer. The pace of this alternation varies depending on the program, but follows a schedule established in advance.
The apprenticeship contract is a special employment contract that allows students to benefit from dual status: student and full-time employee of the company.

POSSIBLE APPRENTICESHIP IN MASTER 2 SIEF

More information about apprenticeships

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Internships, supervised projects

Internship

Possible

Duration of the internship

Maximum 924 hours, or 6 months

Internship abroad

Possible

A true immersion in the professional world, it allows students to apply the knowledge they have acquired in class, discover how organizations work, and compare theory with practice. To get the most out of it, serious preparation is essential: learning about the host organization, defining your objectives, mobilizing your skills, and preparing for professional demands.

All Master's programs offer the possibility of doing an internship.

In Master 1, internships are possible and optional. They must be related to the program.

The internship may begin at the end of the second semester exams or be completed during university vacation periods. In all cases, it must end no later than August 31, regardless of whether the student is enrolled in a Bachelor's degree, Master's degree, or University Diploma program.

In Master 2, the internship is mandatory.

The start date is set in agreement with the academic supervisor, generally between February and March, in order to fit in with the training schedule and the requirements of the final thesis. Regardless of the period chosen, the internship mustend no later than September 30.

More information about internships

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Program

The program lasts two years, or four semesters.

120 ECTS

Apprenticeship possible in Master 2

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  • Theoretical econometrics

    5 credits
  • Market finance

    4 credits
  • Monetary and financial macroeconomics

    3 credits
  • Forecasting methods

    5 credits
  • Algorithms and Programming

    3 credits
  • Data mining and big data

  • Data warehouse

  • Economics of Bancassurance

    3 credits
  • Choose one of two options:

    • English for Finance 1

      2 credits
    • Spanish 1

  • Introduction to Stochastic Calculus

    4 credits
  • Corporate finance

    4 credits
  • Introduction to SAS / Excel VBA

    2 credits
  • Programming in VBA

    3 credits
  • Econometrics of qualitative variables

    3 credits
  • Time series econometrics

    5 credits
  • Technical analysis

    2 credits
  • Applied econometrics project

    5 credits
  • Optional

    • Optional UM student engagement

  • Choose one of two options:

    • English for Finance 2

      2 credits
    • Spanish 2

      2 credits
  • Design of an IS (information system)

    3 credits
  • Database manipulation

    2 credits
  • Programming techniques

    2 credits
  • Data mining and big data

    3 credits
  • Survey

    2 credits
  • Computer Law (Polytech)

    2 credits
  • Data warehouse

    3 credits
  • Modeling an IS (information system)

    3 credits
  • Exploratory statistics (SAS)

    1 credit
  • Computer techniques (VBA)

    1 credit
  • Data visualization design

    2 credits
  • Econometrics

    3 credits
  • Safety

    3 credits
  • Choice of internship or thesis

    30 credits
    • Choose one of two options:

      • M2 SIF internship

        30 credits
      • Research thesis as part of a research program

        30 credits
  • Introductory seminars on research

  • Optional

    • M2 Optional student engagement

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/

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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/

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Target audience

Students from the Montpellier Academy, the Occitanie region, France, and internationally

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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.

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Capacity

Recommended prerequisites

A good level inmicroeconomics, macroeconomics, mathematics, statistics, and econometrics is essential. Depending on the desired career path, certain options may be valued.

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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.

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Professional integration

The Master's in Economic and Financial Information Systems (SIEF) prepares students for rapid and successful integration into high value-added professions at the intersection of economics, finance, and information technology. Graduates can hold positions such asfinancial data analyst, data analyst, information systems consultant, risk analyst, or specialist in big data and artificial intelligence applied to finance and economics. They are also qualified to work in banks, insurance companies, consulting firms, financial institutions, and companies using advanced information systems. Their international outlook and mastery of digital technologies enhance their employability in a digitalized and competitive economic and financial environment.

https://osipe.edu.umontpellier.fr/masters/ 

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