CPES1 Data Science, Health and Society - 1st Year

CPES (Multidisciplinary higher education programme)
Specialisation Science des données, société et santé
Full-time academic programmes
English
French

A 3-year curriculum of excellence in data science with a focus on health/society applications, the multidisciplinary graduate programme (CPES) is a demanding multidisciplinary and interdisciplinary degree. It offers openings to different cultures, a collaborative and innovative project-based pedagogcial approach and an introduction to research, characterised by a different specialisation each year.

The courses are taught at the heart of the Paris Saclay campus by lecturers from Université Paris Saclay, ENS Paris Saclay, the Institut Polytechnique de Paris, HEC Paris and the Lycée International de Palaiseau Paris Saclay (LIPPS). During the first two years, most of the curriculum is taught at LIPPS in Palaiseau, where the boarding school is also located. Part of the discipline can be taught in English.

Information

Présentation

Skills

The curriculum offers general courses in mathematics, computer science, economics, social policy and health, complemented by courses in data science. At the end of the first month, students choose their Major: Data sciences and health or Data sciences, social sciences and society. There is also a block of personal openness and cross-disciplinary competencies.

Objectives

The multidisciplinary graduate programme (CPES) provides a solid foundation of multi-disciplinary and interdisciplinary knowledge to meet the data analysis and Artificial Intelligence needs identified in the public and private sectors. It prepares students for further study in a Master's degree at one of the grandes écoles or universities in France or abroad, or for admission to the grandes écoles (engineering schools, higher teacher training schools, business schools) according to each school's specific admissions process.

Fees and scholarships

The amounts may vary depending on the programme and your personal circumstances.

Admission

Capacity

Available Places

48

Target Audience and Entry Requirements

  • Must have scientific knowledge and competencies, in particular excellent results in the final year mathematics major. * Must have a foundation of knowledge of the discipline * Be able to analyse, model and reason * Must have communication competencies, particularly in English * Curiosity to understand the economic and social issues of the contemporary world * Be able to organise personal work and stick to it over time.

Application Period(s)

ParcourSup Platform

From January 19th to March 12th, 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
Informatique - S1 6 Semestre 1 45 45
Informatique - S2 6 Semestre 2 45 45
Mathématiques - S1 8 Semestre 1 90 30
Mathématiques - S2 8 Semestre 2 90 30
Introduction à la statistique 2 Semestre 2 24 4
Subjects ECTS Semester Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Applicatif commun
À la découverte de l'IA 2 Semestre 1 24
Introduction à l'apprentissage automatique 2.5 Semestre 2 14 14
Science des données : exploration et visualisation 2.5 Semestre 2 30
Economie S1 3 Semestre 1 45
Economie S2 3 Semestre 2 45
Spécialisation au choix
Parcours Sciences des données et Société
Introduction à la sociologie générale S1 4 Semestre 1 60
Introduction à la sociologie générale S2 4 Semestre 1 60
Parcours Sciences des données et Santé
Biologie S1 4 Semestre 1 60
Biologie S2 4 Semestre 2 60
Subjects ECTS Semester Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
UE transverses obligatoires
Anglais S1 2 Semestre 1 30
Anglais S2 2 Semestre 2 30
SPOC Sens critique : Sciences en sociétés 0 Semestre 2
Séminaires 0 Semestre 2
UE d'ouverture S1/S2
1 UE d'ouverture S1 au choix
Arts et culture - S1 2 Semestre 1 25
Activités physiques sportives et artistiques - S1 2 Semestre 1 24
Lang - LV2b - S1 2 Semestre 1 25
FLE - S1 2 Semestre 1 25
1 UE d'ouverture S2 au choix
Arts et culture - S2 2 Semestre 2 25
Activités physiques sportives et artistiques - S2 2 Semestre 2 24
Lang - LV2b - S2 2 Semestre 2 25
FLE - S2 2 Semestre 2 25
UE Libre (O ECTS)
UE libre (0 ECTS) 0 Semestre 1

Teaching Location(s)

ORSAY
JOUY EN JOSAS
PALAISEAU

Academic Partner(s)

Cette formation se fait en partenariat entre le Lycée International de Palaiseau Paris-Saclay, l'Université Paris-Saclay, l'ENS Paris-Saclay, l'Institut Polytechnique de Paris et HEC Paris.

Training campus

Orsay Bures

Orsay / Bures-sur-Yvette
Bus 4607, 4626
RER B Orsay ville ou Bures-sur-Yvette
Library
Community center

Saclay Moulon

Saclay / Gif-sur-Yvette / Orsay
Bus 4606 / 4609 / 4611 / 5154
RER B Le guichet
Student restaurant (CROUS)
Library
Sports facilities
Student residence

Saclay Corbeville

Saclay / Palaiseau
Bus 4606, 4627, 5154, 9105, 9108
RER B Palaiseau, Palaiseau villebon ou Lozère
Student restaurant (CROUS)
Student residence
Sports facilities

Contact

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