ENSAE Paris - École d’ingénieurs pour l’économie, la data science, la finance et l’actuariat

First year

The first year of the engineering program at ENSAE Paris aims to harmonize the knowledge of students from different backgrounds, to allow them to deepen their knowledge in their original field, and to introduce the fundamental subjects of the school: microeconomics and macroeconomics, probability and statistics, computer science.
First year

The first semester of the first year is a transition period between the preparatory classes and the ENSAE curriculum itself. It aims to harmonize the knowledge in economics and mathematics of students from the mathematics and economics preparatory classes, while allowing them to deepen their knowledge in their original field:

In the first semester:

  • Students from scientific preparatory classes (1A Math) discover economics (introduction to economics, history of economic facts, descriptive economics dissertation, economics seminar) and sociology (introduction to social sciences), and take in-depth courses in mathematics that are essential for their subsequent studies at ENSAE (functional and convex analysis, mathematical foundations of probability). They also take a course in algorithms and programming in Python.
  • Students coming from business or literary preparatory classes (1A Eco, EC/S exam and Khâgnes B/L) follow additional courses in algebra, analysis, differential calculus, theory of measurement, and an introduction to computer science. 

All students take common courses in economics (banking economics), social sciences (introductory lectures on contemporary societal issues), statistics (univariate descriptive statistics with SAS), languages and sports.
The second semester is devoted to an introduction to the school's fundamental disciplines (microeconomics, macroeconomics, probability theory, differentiable optimization, introduction to statistics and econometrics, numerical analysis and applications). Opening courses include a course in physics applied to the social sciences, an introduction to data ethics and law, and a course in the history of economic analysis (1A Math) or an introduction to databases (1A Eco). They also complete a programming project of their choice, and take two language courses, two soft skills courses, and a sports course.

The year concludes with an internship to open up the professional world.

 

Course Course hours Tutorials hours ECTS
UE1-01E – Elements of Mathematics (ECO track)     17
Linear Algebra 30 24 5
or Linear Algebra (EC/S + DD HEC) 24 0 5
Analysis 33 27 6
Differential and integral calculus 15 15 3
or Differential and Integral Calculus (EC/S + DD HEC) 9 9 3
Measure theory 18 15 3
Math tutoring (optional)   15 3
UE1-01M – Advanced Mathematics (MATH track)     9
Functional and convex analysis 30 27 5
Mathematical Fundations of Probability Theory 21 21 4
UE1-02M – Introduction to Economics (MATH track)     8
Social and Economic History 18 0 2
Initiation to Economics 18 0 2
Project in descriptive economics 3 0 2
Seminar in economics 3 18 2
UE1-03TC – Core courses : Economics and Society     2
Introduction to social science 18 0 1
or Enjeux et méthodes en économie contemporaine (1A-ECO) 12 0 1
Introductory lectures on contemporary societal issues 12 0 1
UE1-04TC – Tools for Probability and Statistics     5
Introduction to computer science (ECO track) 6 24 3
or Algorithms and programming / Python (MATH track) 0 24 3
Univariate descriptive statistics with SAS 1,5 10,5 2
LateX (optional) 0 6 0
UE1-05TC – Sports and languages     5
English 1h30 or 3h/week - 3
Foreign Language 2 1h30 or 2h/week - 2
Sport 1 session /week - 1
UE1-05BTC – Interpersonal and communicational skills     1
Interpersonal and communicational skills 1A S1   9 1
UE1-05CTC - Sustainable development     1
Fresque du climat   3 1

HEC/ENSAE double degree

Course Course hours Tutorials hours ECTS
Linear Algebra 24 0 4
Analysis   33 5
Differential and Integral Calculus 9 9 4
Measure theory 18 15 3
Course Course hours Tutorials hours ECTS
UE1-06TC – Applied Mathematics     10
Introduction to Statistics 18 18 3
Optimisation 21 16,5 3
Probability Theory 30 28,5 4
UE1-07TC – Foundations of economic modeling     8
Introduction to macroeconomics 24 18 3
Introduction to microeconomics 24 22,5 3
Economics of banking and financial markets 12 0 2
UE1-08TC – Projects and electives     6
Introduction to ethics and data law 12 - 1
Pogramming project (except DD HEC) 0 18 2
Statistical Physics for Social Sciences 12 9 2
History of economic analysis (MATH track) 18 0 1
Databases initiation (ECO track) 6 12 1
UE1-09TC – Languages and sports     5
English 1h30 or 3h/week - 2
Foreign Language 2 1h30 or 2h/week - 2
Sports 1 session/sem - 1
UE1-10TC – Interpersonal and communicational skills     1
Interpersonal and communicational skills – 2nd module   9 1

Double-degree ENSAE-HEC

Course Course hours Tutorials hours ECTS
Introduction to computer science (1A-HEC) 15 15 2