ENSAE Jobs

Ecole Nationale de la Statistique et de l'Administration Economique

Also known as: ENSAE

5 Star University
5 Av. Le Chatelier, 91120 Palaiseau, France
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ENSAE Campuses

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ENSAE Paris

Palaiseau, Île-de-France, France

The ENSAE Paris campus, located in Palaiseau, is the primary hub of the Ecole Nationale de la Statistique et de l'Administration Economique. It offers a comprehensive range of programs focused on statistics, economics, and data science, preparing students for careers in both public and private sectors. The curriculum is designed to provide a strong foundation in quantitative methods, economic theory, and applied statistics, ensuring graduates are equipped to tackle complex challenges in policy-making, finance, and industry.

  • Engineering Degree in Statistics and Economics: A flagship program that combines rigorous training in mathematics, statistics, and economics, with specializations in data science, finance, and actuarial science.
  • Master’s Programs: Advanced studies in fields such as quantitative economics, statistics for public policy, and data science for business, often in partnership with other prestigious institutions like HEC Paris and École Polytechnique.
  • PhD Track: Research-oriented programs for students aiming to pursue academic or high-level research careers in economics and statistics.
  • Continuing Education: Short courses and professional training for working professionals in areas like big data analytics and econometric modeling.

The campus benefits from its proximity to other leading institutions within the Paris-Saclay University cluster, fostering collaboration and interdisciplinary learning. Students have access to state-of-the-art facilities, including advanced computing resources and data labs, which are integral to the hands-on, project-based learning approach at ENSAE. The programs emphasize real-world applications, with many courses incorporating case studies, internships, and partnerships with industry leaders. This ensures that graduates are not only theoretically proficient but also practically skilled, ready to contribute to data-driven decision-making in a variety of fields.

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