Master of Economics, Data and Decision Science

Master of Economics, Data and Decision ScienceProgram flyer

  1. Aim
  2. Who is it for?
  3. The program
  4. How to apply
  5. What next?
  6. Grants and scholarships
  7. ContactS

From September 2025 onwards, the Master of Political Engineering will evolve to focus on the study of data and artificial intelligence related to decision making in the economic field. It will thus be renamed "Master of Economics, Data and Decision Science".

Aim

The Master's in Economics, Data, and Decision Science is a comprehensive two-year program offering rigorous training in economic analysis. The program, fully taught in English, combines theoretical economics, applied economics, and machine learning methods for economics. Supported by the GATE Lyon Saint-Etienne CNRS research laboratory, the program benefits from the expertise of research professors, particularly in the fields of game theory, social choice, and public policy evaluation. A strong background in economics or applied mathematics is required. Upon graduation, students can pursue a PhD in economics or embark on their professional careers as economists or data scientists, either in France or internationally.

Who is it for?

  • Students who have completed the first year of a Master’s program and have a good level in economic theory and/or mathematical modelling
  • Students with an economic science background who have sound skills in quantitative techniques
  • Students with a background in mathematics and/or computer science applied to the social sciences
  • Students with a  Bachelor’s degree in Applied Mathematics or Computer Science and who are interested in broadening their studies to the social sciences
  • Engineering students

The program

MASTER 1 ECONOMICS, DATA AND DECISION SCIENCE COURSE
TERM 7 
UE 7-1 : Economic and public policies

- Economic policy
- Evaluation of public policies
- Introduction to political engineering

UE 7-2 : Applied economics

- Economics of innovation 1
- Economics for competition law

UE 7-3 : Quantitative methods and tools for economics and decision

- Econometrics 2
- Graph theory and its application to problem of society
- Optimization theory and applications
- Data analysis
- English (optional)
- Other foreign language

Prerequisites (compulsory courses for student with a limited background in one or several of these fields)

- English
- Game theory
- Econometrics

TERM 8
UE 8-1 : Economics and decision

- The economics of bargaining and collective choice
- Design of economic and political methods
- Decision theory

UE 8-2 : Tools and methods

- Econometrics of program evaluation
- Research methodology
- English (optional)

UE 8-3 : Applied economics

- Economics of innovation 2
- Economic geography

UE 8-4 : Master thesis and internship

- Project management (in french) or academic project
- Data analysis project (in french) or academic project
- Master class
- Professional integration - preparation of the Professional Project
- Master thesis or internship

 

MASTER 2 ECONOMICS, DATA AND DECISION SCIENCE COURSE
TERM 9
UE 9-1 : Major challenges for the coming decades

- Innovation policies (elective courses)
- Development economics
- Environmental economics
- Smart cities and urban policies
- Health economics and policies (elective courses)

UE 9-2 : Mechanism and institution design

- Economic philosophy and normative economics
- Microeconomics and mechanism design
- Coalitions in cooperative and non-cooperative game theory
- Voting theory

UE 9-3 : Quantitative methods and tools for economics

- Econometrics 3
- Artificial intelligence

TERM 10
UE 10-1 : Choose one elective module from UE 10-1A and UE 10-1B 6 1
UE 10-1A : Public policies and decision

- Behaviourial public economics
- Evaluation of public policies
- Risk and uncertainty

UE 10-1B : Politiques publiques (en français)

- Construire la décision politique
- Politique et outils de l’aménagement
- Facilitation, participation et design des politiques publiques

UE 10-2 : Artificial intelligence, Big Data and networks, Machine learning

- Social and economic networks
- Data mining
- Machine learning, big data and quantitative spatial analysis

UE 10-3 : Master thesis and internship

- Master thesis or internship
- Master class
- Professional integration - preparation of the Professional Project (optional)
- Project (en français) (facultatif)

Official certification of the programme is pending. Changes may still occur.

How to apply

Admission is based on application and subject to availability.

For more information, please refer to our "Admission" page.

What next?

Further study

If you so wish, you can apply to our University’s doctoral program. You can pursue your doctoral studies and prepare a thesis in Economic Science at the Economics and Management Science Doctoral School, which is part of Lyon University.

Career opportunities

The aim of this master’s program is to train students to a high level in support for decision-making, ensuring that they are capable of critically analysing the different theoretical models and are familiar with the techniques used by decision-makers.

  • Analyst
  • Consultant
  • Data scientist
  • Economic journalist
  • Economic research officer
  • Economist-statistician
  • PhD in economics
  • Professor in economics
  • Public policy evaluation officer
  • Research engineer

Grants and scholarships

Scholarships awarded based on academic achievement
Research grants for master’s students intending to move on to a PhD

ContactS

Program Director
Victor STÉPHANE
Director of the Master of Economics, Data and Decision Science
se2 @ univ-st-etienne.fr

Registrar
Sandra Idir
sandra.idir@univ-st-etienne.fr (se2 @ univ-st-etienne.fr)
Tel. + 33 (0)4 77 42 13 85