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

Second year

The second year is the pivotal year, during which students learn the fundamental disciplines of the school while maturing their academic and professional projects.
Second year

The second year is structured around core courses in statistics, econometrics, machine learning, macroeconomics and microeconomics, which form the basis of the training provided at the School. English and a second language are mandatory.

A substantial amount of time is given over to elective courses. In the second year, students must think about their choice of courses in terms of their professional orientation, in order to prepare themselves as well as possible for the specialization paths in the third year.

The choice of electives makes it possible to create pathways that combine economics and mathematics courses in varying proportions, with a view to orienting oneself towards different groups of professions.  The typical courses are as follows: in-depth macroeconomics; in-depth microeconomics; economics and finance; economics and sociology; mathematics and finance; in-depth statistics.

Theoretical training is complemented by a group project, the applied statistics group, and by open courses designed to provide students with the economic and legal culture essential to the economist.

The year concludes with an internship

For students who choose to enroll in a research master's program at the Institut Polytechnique de Paris at the same time as their 3A, it is strongly recommended that they check the start dates of the master's program in order to complete their internship before that date.

The choice of how to validate the obligation to spend time abroad (internship, year or semester of study) is finally prepared from the beginning of the second year. Students are accompanied in this process throughout the year.  

Course Course hours Tutorials hours ECTS
UE2-01A – Harmonization 2AD     2
Introduction to the R Computer Language 0 6 0
Initiation to Python 0 6 0
Macroeconomics 7.5 0 0.5
Microeconomics 7.5 1.5 0.5
Probability Theory 18 7.5 1
UE2-01B – Internship     2
Internship 1A - - 2

 

Course Course hours Tutorials hours ECTS
UE2-02 – Fundamentals of statistics     8
Econométrie 1 (FR) or Econometrics 1 (EN)** 19.5 18 4
Statistique 1 (FR)or Statistics 1 (EN)** 19.5 16.5 4
UE2-03 – Fundamentals of economics     8
Macroeconomics 1 19.5 16.5 4
Microeconomics 1 19.5 16.5 4
UE2-04 – Electives : 3 courses incl. 1 computer course     7
C++ 12 12 2
Python for Data Science 0 21 2
Financial instruments 19.5 10 2.5
Introduction to stochastic processes 21 15 2.5
Sociology 19.5 0 2.5
Surveys 18 12 2.5
Game theory 18 12 2.5
UE2-05 – Languages and sports     5
English 1h30 or 3h/week - 2

Other foreign language

1h30 or 2h/week - 2
Sports 1 session /week - 1

**Students must take at least 1 course+TD in English from among: Econometrics 1, Statistics 1, Econometrics 2, Time Series

Course Course hours Tutorials hours ECTS
UE2-06 – Applied Statistics     9
Applied Statistics (tutorials) - - 7
Accounting and financial analysis 12 6 2
UE2-07 – Data Science and advanced Econometrics     9
Économétrie 2 (FR) or Econometrics 2 (EN)** 18 18 3
Theoretical foundations of Machine Learning 18 12 3
Séries temporelles linéaires (FR) ou Linear time series (EN)** 18 18 3
UE2-08 – Electives : 3 courses incl. 1 economics course     6
Macroeconomics 2 : fluctuations 13.5 10.5 2
Microeconomics 2 : industrial organization 15 12 2
International trade and globalization 18 6 2
Finance Microeconomics 18 0 2
Introduction to Environmental Economics 18 4.5 2
Statistics 2 15 10.5 2
Lectures in Economics and Sociology 15 0 2
Financial mathematics 18 12 2
Statistical modelling seminar  18 0 2
Simulation and Monte Carlo Methods 13.5 9 2
Risk theory (2A) 15 6 2
UE2-09 – Languages and sports     5
English 1h30 or 3h/week - 2
Other foreign language 1h30 or 2h/week - 2
Sport 1 session /week - 1
UE2-10 – Interpersonal and communicational skills     1
Interpersonal and communication skills - 9 1
UE2-11 – Data Ethics (mandatory for 2AD)     1
Optional: séminaire sur les bonnes pratiques de code pour la data science - 9 0

**Students must take at least 1 course+TD in English from among: Econometrics 1, Statistics 1, Econometrics 2, Time Series

The 6 third-year specialization tracks are supported by the following second-year elective courses, which are either very strongly recommended courses with prerequisites of concepts that third-year faculty will consider acquired for the track ("Prerequisite Courses"), or advised choices ("Advised Courses").

Actuarial Science

In addition, certain courses are strongly recommended ("compulsory") for admission to the partner research masters in parallel with the 3rd year of the engineering cycle:

Master in Economics (MiE)