Quantitative economics

quantitative eco
Program type Initial Training
Degree Master's
Graduate program(s) Economics
Domain(s) Humanities & social sciences
Discipline(s) Economics
Teaching language(s) English
Place Paris

PSL host school

Presentation

The Master in Quantitative Economics is a two-year graduate program oriented towards research and advanced quantitative methodsin economics.  Entirely taught in English, it seeks to train top-notch economists who are open and reactive to the many questions and challenges facing contemporary economics. At the same time, graduates will have mastered the quantitative tools to address such challenges in terms of data, especially in light of changes brought by Big Data to the world of public and private decision-makers.

After acquiring the fundamental economic concepts in the first year, you will then specialize in a specific economic field through one of the two Master 2 tracks: the Quantitative Economic Analysis track provides training in economic research, while the Data-Driven Decisions and Digital Economics track is focused on professional training. In addition to quantitative methods, the curriculum also features instruction on massive database processing, as well as the use of computer programming to solve complex economic issues.

The Master in Quantitative Economics offers a high-level education enabling graduates to apply to a PhD program, as a professional economist in public or semi-public institutions including international organizations (federal departments, economics research institutes, central banks, etc.), or in the private sector (as data analyst, consultant, economic analyst, etc.), in France or abroad.

 This master's degree is part of PSL's graduate program in Economics.


Learning outcomes

  • 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 how advanced computer programming can solve complex economic issues
  • Address the economic problems facing various sectors of the economy: Health, public policies, macroeconomics, finance, energy and environment, development, …
  • Make use of statistical and econometric tools to obtain reliable and robust answers, shedding light on businesses’ and public or semi-public institutions’ options
  • Report on economic, statistical and/or econometric results to different audiences, orally and in writing

Tracks

Master’s Year 1 : 1 track

  • Quantitative Economics.

Master’s Year 2 : 2 tracks

  • Quantitative Economic Analysis
  • Data-Driven Decisions and Digital Economics

Learn more about the tracks


Opportunities

The advanced and technically rigorous nature of the program enables students to apply to PhD programs in economics in France or abroad or to embrace careers requiring high technical skills in governments, central banking and international organizations. You will also be well positioned to apply with large and medium-sized companies and consulting companies looking for economists able to understand and clarify the decisions taken by private stakeholders, particularly with respect to digital transformation.


Admissions

Prerequisites for M1: Applicants should have obtained a bachelor's degree (Graduate degree equivalent to 180 ECTS) from a university, or a diploma from an IEP (Institute of Political Studies), Grande Ecole, or Grand Etablissement recognized as equivalent, in France or abroad.

It is preferred but not required that students have a strong quantitative academic background, possibly in one of these fields: economics, statistics, mathematics applied to economics, and computer science applied to economics.

Excellent command of English is required.

Language requirements :

For students from an EU university, this must be attested by one of the following test results (all less than three years old):

  • TOEFL iBT (minimum score 90)
  • IELTS (minimum score 6.5)
  • Cambridge Certificate (C1)
  • GRE (minimum scores of 160 in both verbal and quantitative sections)

For students who have completed most of their studies outside the EU, this must be attested by both :

  • a GRE score (minimum scores of 160 in verbal and quantitative sections)
  • a test of English proficiency, such as TOEFL iBT (minimum score 90), IELTS (minimum score 6.5), or Cambridge Certificate (C1) - All test results should be less than three years old.

Applicants whose native language is English, or who have completed at least one year of study in English in an English-speaking country within the last two years and have passed the corresponding exams, are exempt.

Application dates: from January 15 to February 24, 2026
Selection process: online application on Mycandidature platform.


Tuition fees 

More information about Tuition fees


Teaching location

The courses are given in the heart of Paris on the Dauphine - PSL campus.


School for registration: Dauphine - PSL
Degree issued: Institutional Master’s degree conferred by Université PSL and prepared at Dauphine–PSL.

  • A strong content in quantitative methods that includes massive dataset processing
  • An excellent training in economic research, aligned to the real needs of the public and private decision-making world
  • Taught entirely in English and aligned to the best international standards
  • Exchange and internship opportunities worldwide thanks to the QTEM network of universities and corporates
    • Exchange with the University of Padua, Italy for the M2 Data-Driven Decisions and Digital Economics

    • Exchange with the Autonomous University of Madrid, Spain for the M2 Quantitative Economic Analysis


Contact

  • Manager of the master's program
    Lise Patureau 

contact.master-quantitative-economics@dauphine.psl.eu


More information


Stay informed

Find your course

By education level
  • By degree
  • Bachelor's
  • Master's
  • PhD
  • Other
By discipline
  • By discipline
  • Anthropology
  • Archeology
  • Architecture
  • Archives – Documentation
  • Art History
  • Arts
  • Astronomie
  • Astrophysics
  • Banking - Finance - Insurance
  • Biologie
  • Biology
  • Business Administration - Management
  • Chemistry
  • Cognitive science
  • Communications - Journalism
  • Computer Science
  • Data Science
  • Digital Humanities
  • Drama
  • Earth sciences
  • Earth sciences
  • Ecology
  • Economics
  • Engineering Science
  • Entrepreneurship
  • Fashion and design
  • Finance
  • Geosciences
  • Géographie
  • Géographie politique
  • Géosciences
  • Health - Medecine
  • History
  • Human Resources
  • Languages
  • Law
  • Life Sciences
  • Literature
  • Management
  • Marketing
  • Mathematics
  • Mechanics and Materials
  • Médecine
  • Philosophy
  • Physics
  • Plastic Arts
  • Political Science
  • Programming
  • Quantum engineering
  • Religious sciences
  • Sciences du climat
  • Social Science
  • Sociology
  • Space Science
  • Sustainable development