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Teaching method: Initial training or Continuing education

Location : Marseille

Type of degree: Master

Duration of studies: 2 years

Output level: Bac+5

Language(s) : French, English

Department: Aix-Marseille School of Economics

  • Objectives

    The aim of this Master's programme is to train economists capable of leading economic projects. The programme develops skills that enable the elaboration of economic policy recommendations and advanced expertise in areas such as public policy, macroeconomics, environmental, development and health economics.

    The course aims to develop technical and writing skills, as well as analytical capacity, enabling the student to solve complex economic problems by analysing them and proposing solutions. The course combines teaching that allows the student to manipulate quantitative and econometric tools as well as interventions from professionals. Students will also be trained in various econometric software, and an important place will be given to the realization of projects supervised by academics and professionals.

    Main professional skills targeted at the end of M2 :

    • Conducting economic projects in the fields of environmental economics, health, development and macroeconomics,
    • Responding to economic issues by first identifying the specificities of private and public institutions and providing expertise in economic and/or statistical analysis,
    • Write briefing notes in French and English and present clearly before an informed audience and/or jury.
  • Teachings

    There are two tracks: classic track and Magistère track.

    Master 2 Economics - Economic Policy Analysis (EPA) - Classic track (60 credits)

    Semester 3 M2 Economics Economic Policy Analysis (EPA) - Classic track (30 credits)

    • Methodology (6 credits)
      • Writing and oral communication training
      • Project management
    • Decision making support: quantitative methods (6 credits)
      • Quantitative tools in economics
      • Public policies econometrics
    • Topics in contemporary economics (9 credits)
      • Applied economics issues
      • Transitions and economic policies
      • Big data and economics
    • Elective teaching units (choose 3 out of 6) (9 credits)
      • Economics, finance and crises (3 credits)
        • Economics, finance and crises
      • Programming for big data (3 credits)
        • Programming for big data
      • Development economics (3 credits)
        • Development economics
      • Health economics (3 credits)
        • Health economics
      • Environmental economics (3 credits)
        • Environmental economics
      • Housing economics (3 credits)
        • Housing economics

    Semester 4 M2 Economics Typical course Economic Policy Analysis (EPA) - Classical training (30 credits)

    • Knowledge of the professional environment (6 credits)
      • Corporate strategy
      • Collaborating with public organizations

    Master 2 Economics Typical course Economic Policy Analysis (APE) - Option Magistère (72 credits)

    Semester 3 M2 Economics Typical course Economic Policy Analysis (EPA) - Magisterial option (36 credits)

    • Methodology (6 credits)
      • Writing and oral communication training
      • Project management
    • Graduation project (6 credits)
    • Big data III (6 credits)
      • Big data tools (Hadoop, Hive, Spark)
      • Advanced machine learning
    • Decision making support: quantitative methods (6 credits)
      • Quantitative tools in economics
      • Public policies econometrics
    • Topics in contemporary economics (9 credits)
      • Applied economics issues
      • Transitions and economic policies
      • Big data and economics
    • Elective EU: choose 1 out of 4 4 (3 credits)
      • Development economics (3 credits)
        • Development economics
      • Health economics (3 credits)
        • Health economics
      • Environmental economics (3 credits)
        • Environmental economics
      • Housing economics (3 credits)
        • Housing economics

    Semester 4 M2 Economics Typical course Economic Policy Analysis (EPA) - Magisterial option (36 credits)

    • Big data IV (6 credits)
      • Big data management with SAS
      • Hands-on project
    • Knowledge of the professional environment (6 credits)
      • Corporate strategy
      • Collaborating with public organizations
    • End-of-studies internship with report and defence (24 credits)
  • Admission - Second Year

    Who can apply?

    A high-level training in quantitative and applied economics is required.
    The M1 of the Master's Degree in Economics of the AMSE department of the Faculty of Economics and Management of Aix-Marseille University offers privileged access to this course. Parallel entries in M2 can however be envisaged for students who have validated 60 credits of M1 level Economics in a course with a strong quantitative focus.

    How to apply?

    Apply at the time of admission on the dedicated platform.

  • Practical information

    This master is part of the University Research School (EUR) AMSE, which brings together nearly one hundred researchers from AMU, CNRS, EHESS and ECM. The teachers are selected on the basis of their expertise within these entities. The teaching team is also supplemented by professionals from the sector.

    At the end of the year, students complete an internship and write a Master's internship report. The objective of the internship is to demonstrate the ability to mobilize the conceptual tools acquired to questions emanating from the professional world. The student must therefore identify the issue, implement the tools, and know how to communicate the results to both a professional and academic audience. Supervision is provided by an academic and an internship supervisor (a member of the company). The report is supported before a jury made up of the academic supervisor and the internship supervisor, at a minimum.
    Each course is evaluated by a written exam and/or by the realization of a file presented during an oral defense.

    The course aims to provide the student with a solid quality of analysis and presentation of results both in writing and orally. The evaluation of skills is also done through active participation of the student during the course sessions (reverse pedagogy for example).

    In order to limit the number of personal projects to be carried out by the student, teachers propose cross-curricular projects whenever possible.

    This training is available in :

    • Initial training
    • Continuing education
  • What's next?

    Professional opportunities

    ROME codes :

    Training specialties (NSF code) :

    • 114g: Computer Mathematics, Financial Mathematics, Health Statistics
    • 122b: Econometric Models; Methods of Economic Analysis
    • 313n: Economic and financial studies

CONTACTS

Pedagogical managers

contact__name
Alain
PARAPONARIS
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Vice-Dean Training
University Professor
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Agnès
TOMINI
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Researcher

Administrative Manager

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Emilie
ALPACCA
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Academic Studies Secretary AMSE