Master's in M2 Economics
Introduction
M2 Economics is a Masters program taught at Université Paris-Saclay, France. The program is offered in campus-based modes with full-time options.
The Master of Economics at Université Paris-Saclay is a full-time academic programme taught in English. It covers microeconomics, macroeconomics, and applied econometrics, and includes research projects from the first stage of the programme. Students learn fundamental techniques and concepts in economics, theoretical and empirical methods, and critical thinking about how to use them.
The first year (M1) is structured around 8 compulsory core courses. It also includes two optional discovery courses and two research projects. The second year (M2) is entirely optional, so students build a specific curricula under the supervision of faculty members. M2 can focus on one of three fields of excellence or combine areas, and it leads to a research master’s thesis.
Modules
- Trade, Geography and Development Economics
- Public and Behavioral Economics
- Advances and Challenges in Macroeconomics
Admission Requirements
The minimum requirements for admission in M2 Economics at Université Paris-Saclay for all applicants (Domestic or International) are:
- program specific academic requirment set by Université Paris-Saclay.
- English Language OR any other language requirments as set by Université Paris-Saclay as pre-requiste for admission in M2 Economics.
Note: Please check the university website in the link below.
Applications are open to students with a BA in economics or BS in mathematics.
Target Audience and Entry Requirements: BA Economics, BS Mathematics, Licence d'Economie, Licence de Mathématique.
Certificate of English level (compulsory for non-English speakers) or GMAT / GRE test results.
Courses Units
Please check detail of study units at https://www.universite-paris-saclay.fr/en/education/master/economics/m1-economics
More Information
- Chargé·e d’études
- Chef·fe de projet/de mission
- Chercheur/chercheuse en R&D ou expert·e en modélisation et analyse de données dans des entreprises ou laboratoires de pointe
- Consultant·e
- Doctorat
- Data Scientist, Data Analyst, Ingénieur·e en Machine Learning
Scholarships
38 fully funded scholarships are listed for France. See France scholarships.