Master - Quantitative Economics

Program Objectives of the Master's Degree in Quantitative Economics

The Master in Quantitative Economics offers solid training in economics and quantitative methods, entirely taught in English. At the end of your master degree, you will have gained an excellent command of quantitative methods used in economics, including innovative techniques for Big Data processing, allied with a deep understanding of the economic decision-making process.
During your Master first year, you will learn about both the fundamentals of economics and data science, through intensive computer programming courses. You will then specialize in a specific field through one of the two Master 2 tracks: The Master 2 Digital Economics, oriented to professional outcomes, deepens your knowledge in Data Science techniques in link with business decisions. The Master 2 Quantitative Economic Analysis, more oriented toward research in economics, allows you to deepen your understanding of economic issues still with a quantitative approach. The combination of a deep knowledge in economics and a solid command in data science offered by the Master leads to a large spectrum of job market outcomes, as economic researcher, applied economist or data analyst in various public, academic or private sectors.

Skills acquired :

  • Acquire training in economic research and reflect on the public and private stakeholders' decision-making procedures
  • Learn about quantitative methods for processing massive databases, and about data science techniques for solving complex economic issues
  • Contribute to produce groundbreaking scientific output in the economic sciences
  • Address nowadays major issues in various economic fields: Health, public policies, macroeconomics, finance, energy, environment, economic development
  • Make use of advanced statistical and econometric tools to provide reliable and robust analyses to key economic issues facing public, semi-public institutions or private businesses
  • Report on economic, statistical and econometric results to different audiences, orally and in writing

Organization of the Master’s Degree

1st year
Quantitative Economics

After the first year, followed by an optional gap year, 2 specializations are possible.

Types of education
Initial training and Executive Education
Outgoing Level
BAC+5
Language(s)
English
Duration of studies
4 semesters (outside the gap year)
ECTS Credits
120 credits
Type of Diploma
Diploma from a major institution conferring the Master's degree
Academic Year
2025/2026


Primary Opportunities

  • PhD in Economics
  • Data analyst
  • Consultant in public and private companies
  • Research economist in academic institutions
  • Professional Economist in parapublic institutions or private businesses

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A dedicated team

  • Lise PATUREAU

    Professor in Economics, Director of the Master's Degree in Quantitative Economics, Director of the 2nd year of the Master's Degree in Quantitative Economic Analysis

  • Olivia Bertelli

    Associate Professor in Economics, Director of the 1st year of the Master's Degree in Quantitative Economics

  • MADALINA OLTEANU

    Professor in Applied Mathematics and Data Science, Co-Director of the 2nd year of the Master's Degree in Data Science for Economist

  • Romain PLASSARD

    Associate Professor in Economics, Co-Director of the 2nd year of the Master's Degree in Data Science for Economist