Engineering degree

ENSAE provides a high-level training in econometrics and quantitative methods applied to economics and statistics. Its engineering program prepares students to become experts in actuarial science, data science, macroeconomics, microeconomics, quantitative finance and risk management or in quantitative sociology. High-quality courses are proposed in various fields as the econometric evaluation of public policies, machine learning, advanced micro- and macroeconomics, stochastic calculus, Bayesian statistics, dynamic programming, risk theory, etc.

ENSAE Engineering degree is a three-Year Program. Each academic year is organized into semesters.

The first year is devoted to an harmonization of knowledge across students with different academic backgrounds. All students follow introductory courses in the core disciplines taught at ENSAE: micro- and macroeconomics, probability theory and statistics. Those whose initial training was in mathematics take courses in descriptive and institutional economics. Those whose initial training was in economics and social sciences take intensive courses in mathematics. On top of that, both categories of students follow introductory courses in probability theory, statistics, micro- and macroeconomics. Students whose previous training was sufficient in these domains may be exempted from the first year. This first year ends with a short internship in a private company, a public service or an actor of the civil society.

In the second year, all students attend fundamental courses to become a statistician-economist : statistics, econometrics, advanced micro- and macroeconomics. They also choose elective courses to deepen their knowledge and focus on their academic and professional project. Students also choose elective courses to deepen their knowledge in statistics (advanced mathematical statistics, simulation-based methods, etc.), economics (game theory, industrial organization, international trade, etc.) or finance in a broad sense (introduction to stochastic processes, risk theory, etc.). An introduction to accounting and law is proposed in order to endow students with practical skills. This second year ends with a longer internship (10 to 16 weeks or even longer if they choose so). The objective of this internship is to practice the scientific skills learned through their courses.

During the third year, each student chooses one of the following six majors:

  • Actuarial Science
  • Business Analytics
  • Data Science & Machine Learning
  • Data Science & Social Sciences
  • Finance & Risk Management
  • Forecasting & Economic Policy

The academic year is completed by a final internship lasting 14 to 26 weeks. This internship is usually the first step into their professional career.