Program Year

AQME CERTIFICATE (9 ECTS)

  • Machine Learning
  • Introduction to Matlab programming
  • Python for data science

MANDATORY COURSES

  • Master Thesis project
  • Conference cycles: International Organizations & Job Market Informations

OPTIONAL COURSE (6 ECTS) MANDATORY WITHIN THE SPECIALIZATION FIELD

Specialization field : Theory

Specialization field: Social and Public Policies

Specialization field: Macro & Finance

SPECIALIZATION COURSES (12 ECTS) MANDATORY WITHIN THE FIELD

Specialization field: Theory - Mandatory courses

  • Behavioral economics and bounded rationality
  • Empirical Industrial Organization
  • Advanced Game Theory

Specialization field: Theory - Optional courses (Choose one)

  • Asset pricing Theory
  • Inequality and redistribution
  • Environement and sustainability

Specialization field: Social and Public Policies - Mandatory courses

  • Labor & Education economics
  • Inequality and redistribution
  • Health, welfare and health behavior

Specialization field: Social and Public Policies - Optional courses (Choose one)

  • Behavioral economics and bounded rationality
  • Empirical Industrial Organization
  • Environement and sustainability

Specialization field: Macro & Finance - Mandatory courses

  • International Trade & International Macroeconomics
  • Business Cycles and Stabilization policies

Specialization field: Macro & Finance - Optional courses (Choose 2)

  • Asset pricing Theory
  • Behavioral economics and bounded rationality
  • Quantitative International Economics

MANDATORY COURSES

Master Thesis

SPECIALIZATION COURSES (6 ECTS) MANDATORY WITHIN THE SPECIALIZATION FIELD

Specialization field: Theory

  • Banking economics
  • Individual and collective decisions

Specialization field: Social and Public Policies

Specialization field: Macro & Finance

  • Banking economics
  • Advanced environmental macroeconomics

Academic Training Year 2023 - 2024 - subject to modification

Teaching Modalities

All courses in the Quantitative Economic Analysis track are taught in English and in lecture format. In some cases, part of the session may be devoted to correcting exercises and/or data processing. As the program emphasizes research training, students will frequently read research articles, with the possibility of presenting some of them in front of the class. The first semester goes from September to December. The second semester goes from January to early March for the lectures. Semester 2 courses are completed by the achievement of a Master thesis to be defended between May and November ; depending on her professional wishes, the student chooses between writing a PhD project or a mandatory internship. On completing each semester, students will receive 30 ECTS credits.

There are two mandatory common courses during the first semester:Python for Data ScienceandMachine Learning. The selection of other courses depends on the student's chosen specialization, out of 3 options:Social and Public Policies,Theory, andMacroeconomics, Finance and Trade. During the first semester, students follow an econometrics course and four specialization courses corresponding to their specialization.With a very light teaching load, most part of the second semester is devoted to writing the Master thesis to be defended between May and November.

Internships and Supervised Projects

Each student in the Quantitative Economic Analysis track individually writes a research thesis, which counts for 18 ECTS credits, out of 30 credits in the second semester. The Master thesis will be supervised by a researcher member of the LEDa (research department in economics of Dauphine-PSL) or a member of the Master ’ s pedagogical team. The Master thesis should be defended orally in early May or later in the academic year until mid-November.

Depending on her professional wishes, the student chooses between writing a PhD project or a mandatory internship. The agenda is such that the student who chooses a PhD project can also perform an internship although this will not be rewarded with ECTS credits.