Program Overview

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Master Econométrie, Statistiques

The Master's program in Econométrie, Statistiques is designed to provide students with a solid foundation in economics, econometrics, statistics, and Data Science. The program aims to equip students with the theoretical and practical tools necessary to analyze contemporary economic problems and make informed decisions in the fields of business and administration.

Objectives

The first year of the program focuses on establishing a strong base in economics, econometrics, statistics, and Data Science. The second year offers two specializations: Économétrie Data Science (EDS) and Recherche. Graduates of the Recherche specialization will acquire in-depth expertise in research and data analysis, while those in the EDS specialization will possess practical skills to solve economic and statistical problems in a professional context.

Target Audience

This Master's program is intended for students seeking to deepen their knowledge in econometrics and statistics for professional integration at the Bac+5 level or for further studies in a doctoral program. The target audience includes students who have obtained a degree in economics or a similar field, applied mathematics, MIASHS, or social sciences with a quantitative orientation and economics courses.

Admission Requirements

Admission is recommended for the M1 level and is also possible for the M2 level. All students must submit an application dossier, which will be reviewed by the pedagogical commission of the faculty of economics and management.

Structure and Organization

The M1 program consists of two semesters. The first semester focuses on developing methodological skills and fundamental economic knowledge. The second semester includes applied courses in various economic fields, advanced quantitative courses, and optional courses. The M1 program is offered on two sites, Marseille and Aix-en-Provence, with courses taught in English at the Marseille site and in French or English at the Aix-en-Provence site.

Teaching Sites

The program is taught at the following sites:

• FEG, Site Îlot Bernard Dubois
• FEG, Pauliane

Formation and Research

This Master's program is part of the École Universitaire de Recherche (EUR) AMSE, which brings together nearly a hundred researchers from Aix-Marseille Université (AMU), the Centre National de la Recherche Scientifique (CNRS), the École des Hautes Études en Sciences Sociales (EHESS), Centrale Méditerranée (ECM), and Sciences Po Aix. The teaching team consists of teacher-researchers and researchers selected for their expertise, as well as professionals.

Knowledge and Skills to be Acquired

Given the rapid evolution of labor market needs, this degree will train professionals capable of adapting to these changes. This adaptability requires a comprehensive understanding of quantitative phenomena and in-depth technical knowledge in econometrics. Students will acquire fundamental knowledge in econometrics and quantitative methods during the first year and more specific knowledge in the chosen specialization during the second year.

Competencies to be Acquired

Parcours de M2 Économétrie Data Science - EDS

• Manipulate, analyze, and interpret data using machine learning techniques and advanced econometric methods.
• Be proficient in various programming languages (such as Python and R) and data science applications.
• Autonomously choose the most relevant machine learning tools and implement them to obtain reliable and robust answers.
• Clearly communicate the results of quantitative analyses to diverse audiences.

Parcours de M2 Recherche en économétrie

• Contribute to innovative scientific production in econometrics.
• Enhance research results.
• Demonstrate expertise in a research area in economics and econometrics.

Internships and Supervised Projects

A mandatory internship of 3 to 6 months is required for the M2 EDS specialization and is optional for the Recherche specialization.

Professional Integration Rate

The program has a high professional integration rate, with graduates finding employment in France and abroad.

Career Opportunities

Examples of careers include:

• Data scientist
• Data analyst
• Statistician
• Data Manager
• Business analyst
• Chargé d'études statistiques
• Consultant data scientist

Further Studies

Graduates of the Recherche specialization can pursue further studies in a doctoral program.

Partnerships

The program is taught in interaction with the professional world to add an operational dimension to the teachings and to confront the acquired knowledge with the field. Partners include numerous companies and organizations that cooperate with the program through internships, advisory boards, and teaching.

List of Specializations

• Parcours: Econométrie et data science
• Parcours: Recherche en économétrie et statistiques

Orientation Assistance

An information meeting is organized at the end of the first semester of the M1 to inform students about the possibilities of M2 and/or to advise them individually if necessary.

Studies Abroad

Students can spend the M1 year abroad through double degree programs with universities in Kent, Konstanz, Lisbon, Tübingen, and Venice. An Erasmus mobility is possible in the first semester of the M1 if planned the previous year or in the second semester of the M1 depending on available places.

Tuition Fees

• Formation initiale: 250 €
• Droits d'inscription: more information available
• Droits différenciés des étudiants extra-communautaires: more information available
• Formation continue: more information available

Number of Credits

The program consists of 120 credits.