Address: 5 avenue Henry Le Chatelier, 91120 Palaiseau, Île-de-France, France
Data Science & Statistics, Quantitative Economics & Finance, Actuarial Science
Founded in 1942, ENSAE Paris is a prestigious public grande école specializing in economics, statistics, data science, and finance. It is part of Institut Polytechnique de Paris and GENES. While economics/finance are prominent, its strong quantitative/data science core is relevant.
Domains taught:
AI and Machine Learning, Data Analytics, Engineering, Mathematics, Project Management, Quality, Software Engineering, Statistics
Diplomas*:
Doctor, Master
Status:
Public
Partnerships:
Part of Institut Polytechnique de Paris and GENES. Partnerships with INSEE, financial institutions, and research centers.
Research:
Machine learning and statistical modeling, Econometrics and quantitative finance, Actuarial science and risk management, Data science for social sciences.
Famous Alumnis:
Jean-Claude Trichet, Patrick Artus
International recognition**:
Number of staff***:
200
Current students***:
700
Foreign students***:
30%
Cumulative former students***:
7000
Pros
Leading institution for statistics, data science, and quantitative economics, excellent career prospects in data-driven fields.
Cons
Highly quantitative and demanding, strong focus on economics and finance alongside data science.
Best For
Elite grande école for statistics, data science, quantitative economics, and finance.
*: without any judgment of the quality, readers are strongly encouraged to check the official status of the exact diploma envisioned as many universities have a mix of recognized diplomas, not recognized, “co-delivered,” “equivalent to”, “some pathways” (…), can change over time, and can be named differently from one country to another.
**: international reputation: is based on some criteria that do not mean much in some domains or specialties (number of researchers, of scientific publications, on budget ….). Our approximate 1-4 scale:
known locally
known locally and internationally
is listed in some of the world university’s classifications
is listed among the 20 firsts in some of world university’s classifications
***: estimated numbers, based on online sources and/or feedbacks. The numbers can vary greatly depending on school organisation (ex.: school is part of a group, it employs internal staff or external consultants or has public staff without employing them …). Refer to all the links provided to have accurate and updated numbers.
Innovation.world is not affiliated with this school/university. We recommend to contact them directly on their website for any special request.
To complete or correct any information here or share your opinion, please comment below or > send us a direct message <.