LDD3 Economie, Mathématiques

Licence Double-Diplôme (Undergraduate double degree)
Specialisation Economie, Mathématiques
English
French

The "Économie, Mathématiques" track of the third year of the Licence Double Diplôme Économie, Mathématiques (LDD3 EM) is the year of maturation for the student's academic project. It allows the student to further deepen their dual-disciplinary skills and directly prepares them for further studies in a Master's program, an engineering school, or a business school.

The "Économie, Mathématiques" track of LDD3 EM deepens the dual expertise initiated during the first two years of the LDD EM program and introduces interdisciplinary research, while offering transversal courses and support for further studies. A selective program in partnership with ENSAE allows students to engage with a new academic environment.

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Information

Présentation

Skills

Upon completion of LDD3 EM, the student will be able to: master advanced concepts in mathematics and economics; formulate a research question and use complex quantitative methodologies in data analysis; rigorously synthesize and mobilize their entire dual-disciplinary background to study a complex problem; manage a long-term project autonomously.

Objectives

The objective of LDD3 EM is to: strengthen skills in mathematics and economics, allow the student to specialize according to their professional and academic project; introduce the methods and challenges of research in economics and mathematics; strengthen autonomy in managing a complex project and in pursuing further studies.

Admission

Capacity

Available Places

30

Target Audience and Entry Requirements

Access to LDD3 EM is primarily reserved for students who have successfully completed LDD2. Admission is possible for a very limited number of external students with an excellent level in mathematics and economics. A strong capacity for adaptation and hard work is required to keep up with the demanding pace of the program.

Application Period(s)

E-candidat Platform

From 15/05/2026 to 22/05/2026

Programme
Subjects ECTS Semester Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
UEs obligatoires
Finance de marché 5 Semestre 1 33 15
Microéconomie 3 5 Semestre 1 33 15
Econométrie 5 Semestre 2 33 20
Macroéconomie 3 4 Semestre 1 33
Data Science 1 4 Semestre 1 12 15
1 UE au choix
Economie de l’environnement 4 Semestre 2 33
Economie urbaine 4 Semestre 2 33
Data Science 2 4 Semestre 2 12 20
Subjects ECTS Semester Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Fondements mathématiques des probabilités (ENSAE) 5 Semestre 1 18 15
Probabilités 5 Semestre 1 24 24
Calcul différentiel et optimisation 5 Semestre 1 24 24
Intégration 5 Semestre 1 24 24
Equations différentielles et résolution numérique 5 Semestre 2 24 24
Algèbre Linéaire pour l’Analyse numérique 5 Semestre 2 24 24
Subjects ECTS Semester Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Anglais - FSO - L3 S5 - 2 ECTS - 1 UE parmi 6
Anglais - FSO - L3 S5 - 2 ECTS 2 Semestre 1 24
Theater workshop - FSO - S1 - 2 ECTS 2 Semestre 1 24
Reading and creative writing workshop - FSO - S1 - 2 ECTS 2 Semestre 1 24
Intercultural Communication EUGLOH project - FSO - S1 - 2 ECTS 2 Semestre 1 24
Debate Club - FSO - S1 - 2 ECTS 2 Semestre 1 30
Writing worshop - FSO - S1 - 2 ECTS 2 Semestre 1 24
UE transverses (hors anglais)
PPEI 3 1 Semestre 1 4
Stage facultatif 0 Semestre 2
Subjects ECTS Semester Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
UEs obligatoires Cursus ENSAE
Introduction à la statistique (ENSAE) 5 Semestre 2 18 18
Projet bi-disciplinaire Cursus ENSAE 5 Semestre 2 15
Oraux de math S6 / Prépa concours 2.5 Semestre 2 3
Analyse hilbertienne 2.5 Semestre 2 12 12
Méthodes statistiques de prévision 2.5 Semestre 2 12 12
1 UE au choix S5
UE libre Catalogue S1 2.5 Semestre 1
Subjects ECTS Semester Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
1 UE au choix
Economie de l’environnement 4 Semestre 2 33
Economie urbaine 4 Semestre 2 33
UEs obligatoires
Finance de marché 5 Semestre 1 33 15
Microéconomie 3 5 Semestre 1 33 15
Econométrie 5 Semestre 2 33 20
Macroéconomie 3 4 Semestre 1 33
Data Science 1 4 Semestre 1 12 15
Subjects ECTS Semester Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Inférence statistique 5 Semestre 2 24 24
Probabilités 5 Semestre 1 24 24
Calcul différentiel et optimisation 5 Semestre 1 24 24
Intégration 5 Semestre 1 24 24
Equations différentielles et résolution numérique 5 Semestre 2 24 24
Algèbre Linéaire pour l’Analyse numérique 5 Semestre 2 24 24
Subjects ECTS Semester Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Anglais - FSO - L3 S5 - 2 ECTS - 1 UE parmi 6
Anglais - FSO - L3 S5 - 2 ECTS 2 Semestre 1 24
Theater workshop - FSO - S1 - 2 ECTS 2 Semestre 1 24
Reading and creative writing workshop - FSO - S1 - 2 ECTS 2 Semestre 1 24
Intercultural Communication EUGLOH project - FSO - S1 - 2 ECTS 2 Semestre 1 24
Debate Club - FSO - S1 - 2 ECTS 2 Semestre 1 30
Writing worshop - FSO - S1 - 2 ECTS 2 Semestre 1 24
UE transverses (hors anglais)
PPEI 3 1 Semestre 1 4
Stage facultatif 0 Semestre 2
Subjects ECTS Semester Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
UEs obligatoires Cursus Paris-Saclay
Projet bi-disciplinaire Cursus Paris-Saclay 6 Semestre 2 15
Oraux de math S6 / Prépa concours 2.5 Semestre 2 3
Analyse hilbertienne 2.5 Semestre 2 12 12
Méthodes statistiques de prévision 2.5 Semestre 2 12 12
Data Science 2 4 Semestre 2 12 20
1 UE au choix S5
UE libre Catalogue S1 2.5 Semestre 1

Teaching Location(s)

ORSAY
SCEAUX

Academic Partner(s)

ENSAE Paris

Contact

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