Suchergebnisse
Suchergebnisse:
The ENSAE Paris engineering program is a multidisciplinary curriculum combining a high-level foundation of skills in applied mathematics, economics, computer science, statistics, econometrics, and machine learning, and a progressive specialization in three years leading to one of six specialization tracks.
- The School
The School. Presentation of ENSAE Paris. Academic networks....
- Education
PhD. Read more. Student Entrepreneur. Read more. Executive...
- Research
Research - ENSAE Paris - École d'ingénieurs pour l'économie,...
- International
International - ENSAE Paris - École d'ingénieurs pour...
- Business
ENSAE Paris - École d'ingénieurs pour l'économie, la data...
- Student life
ENSAE Paris - École d'ingénieurs pour l'économie, la data...
- The School
ENSAE Paris is known as the specialization school of École polytechnique for economics, finance, applied mathematics, statistics, and data science. It is one of France's top engineering schools and is directly attached to France's Institut national de la statistique et des études économiques (INSEE) and the French Ministry of ...
- Compter pour savoir, comprendre pour prévoir
- La grande école de l'économie, de la statistique, de la finance et de l'assurance
- Count for knowledge, grasp to forecast
- Grande Ecole
Außerdem bietet die Universität Bonn ein einjähriges Austauschprogramm mit der ENSAE an. Es besteht zudem ein Doppeldiplomprogramm mit der ESCP Europe Wirtschaftshochschule und der HEC Paris. Die ENSAE ist Mitglied von ParisTech (Vereinigung von 11 Grandes Écoles d’Ingénieurs in Paris).
- 1942
- staatlich
- Julien Pouget
Making sense of data to evaluate, forecast and decide. ENSAE Paris is the leading engineering school in quantitative economics and sociology, statistics and machine learning, finance and actuarial science. The strength and originality of the School lie in its unique pedagogical project, rooted in its history, which combines applied mathematics, ...
The ENSAE Paris engineering program is a multidisciplinary curriculum combining a high-level foundation of skills in applied mathematics, economics, computer science, statistics, econometrics, and machine learning, and a progressive specialization in three years leading to one of six specialization tracks.
