Quantitative Economic Analysis - 2nd year of master's degree

All courses in the Quantitative Economic Analysis track are taught in English and delivered in lecture format. Since 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 runs from the end of August to December. The second semester spans from January to early March for the lectures. Courses in the second semester are followed by the completion of a Master thesis, which must be defended between May and November. Depending on their professional goals, students can choose between writing a PhD project or completing a mandatory internship.

Upon completion of each semester, students will receive 30 ECTS credits.

There are two mandatory core courses: Python for Data Science and Machine Learning. The selection of additional courses depends on the student’s chosen specialization, with three options available: Social and Public Policies, Economic Theory, and Macroeconomics and Finance. Depending on the selected field, students will take both quantitative and specialization courses at an advanced level, with a mix of mandatory and elective courses.

Most of the courses are concentrated in the first semester, while the second semester has a lighter teaching load. The majority of the second semester is devoted to writing the Master thesis and completing the internship or PhD project.

Each student in the Quantitative Economic Analysis track independently writes a research thesis, which accounts for 15 ECTS credits out of the 30 credits required in the second semester.

The Master thesis will be supervised by a researcher from the LEDa (Research Department in Economics at Dauphine-PSL) or a member of the Master’s pedagogical team.

The thesis gives rise to a written report and an oral defense, both of which are graded and contribute to the final assessment of the student.
Depending on their professional goals, students can choose between writing a PhD project or completing a mandatory internship, which can take place from March to the end of November.

The schedule is such that a student who chooses to work on a PhD project can also undertake an internship, although this will not be rewarded with ECTS credits.