Cycle Pluridisciplinaire d'Études Supérieures

CPES Paris-Saclay

Data Science, Society and Health

3 years of study
180 ECTS credits
5 institutions

A multidisciplinary and interdisciplinary 3-year degree built in partnership between ENS Paris-Saclay, HEC Paris, Institut Polytechnique de Paris, the Lycée International de Palaiseau Paris-Saclay and Université Paris-Saclay. The Cycle Pluridisciplinaire d'Études Supérieures (CPES) trains students with interdisciplinary profiles mastering data science and AI (mathematics, computer science) and able to interpret data in the field of health or society depending on their chosen track.

Future CPES29

Two specialization tracks from year one

The Cycle Pluridisciplinaire d'Études Supérieures of Paris-Saclay aims to provide students with solid proficiency in data science and artificial intelligence, grounded in mathematics and computer science, together with the ability to interpret data in two fields of their choice.

Health

Application of data science in the field of health: genomics, epidemiology, bioinformatics and ethical implications of biomedical data.

Society

Application of data science in economics and sociology: social stratification, public policy and the humanities.

A progressive 3-year structure

Year 1 (L1)
80% / 20%

LIPPS / Partners

Fundamentals and working methods. Introduction to partner institutions.

Year 1 programme
Year 2 (L2)
50% / 50%

LIPPS / Partners

Start of specialization, research projects and progressive immersion.

Year 2 programme
Year 3 (L3)
20% / 80%

LIPPS / Partners

Autonomy, final Capstone project and preparation for Master's programmes.

Year 3 programme

Our alumni

The first cohort (CPES26) went on to universities, engineering and business grandes écoles and selective master's programmes, in France and abroad.

Margot LESAGE
CPES26
CentraleSupélec Engineering programme
Charlotte RAVELOMANANA GONZALO
CPES26
KTH Royal Institute of Technology Biostatistics & Data Science
Noreen TROISPOUX
CPES26
KTH Royal Institute of Technology Master in Data Driven Health
Victor RANCHET
CPES26
IMT Atlantique Engineering programme
Tristan PAILLOT
CPES26
CentraleSupélec Engineering programme
Tharushan UTHAYAKUMAR
CPES26
HEC Paris Grande École programme (MiM)
Enguerrand ROQUES BAHEZRE DE LANLAY
CPES26
HEC Paris Grande École programme (MiM)
Clément FRITSCH-VIDAL
CPES26
EDHEC Grande École programme
Lia BISCAFÉ-PARK
CPES26
École Polytechnique Engineering programme
Thibaud DUBRULLE
CPES26
Télécom Paris Engineering programme
Violette MARIN
CPES26
Institut Polytechnique de Paris (IPP) Master in Quantitative Sociology and Demography (SQD)
Charlotte GASPALOU
CPES26
Institut Polytechnique de Paris (IPP) Master in Quantitative Sociology and Demography (SQD)
Tristan ROUSSEAU
CPES26
HEC Paris Grande École programme (MiM)
Cléo GOLLIN
CPES26
Institut Polytechnique de Paris (IPP) Master in Quantitative Sociology and Demography (SQD)
Raphaël CONTRI
CPES26
ENSAI Engineering programme
Hanae BENRABH
CPES26
Université Paris-Saclay Public Health
Tomasz EVESQUE
CPES26
CentraleSupélec Engineering programme
Othmane NAMMOUS
CPES26
Télécom SudParis Engineering programme
Nathan BAUDRON
CPES26
École Supérieure des Travaux Publics (ESTP) Engineering programme
Eléana TRAN
CPES26
Centrale/ESSEC Master in Data Science and Business Analytics
Yanis CHERGUI
CPES26
HEC Paris Grande École programme (MiM)
Rémi FRAISSE
CPES26
EDHEC Grande École programme
Lily-Mei THIBAULT
CPES26
CentraleSupélec Engineering programme
Rémi MALAPERT
CPES26
Université Paris-Saclay Master in Computer Science for Data Science (ISD), apprenticeship track
Elios MORIZE
CPES26
Paris Sciences et Lettres (PSL) Master in AI and Society

Five institutions delivering teaching

A unique programme

The Cycle Pluridisciplinaire d'Études Supérieures (CPES) Paris-Saclay brings together five excellence institutions around a single programme, structured by two tracks and an introduction to research from the very first year.

Five institutions

Excellence institutions, complementary in their expertise and training environments.

Two tracks

Health or Society: each student builds their interdisciplinary profile from the first year.

Ambitious career prospects

Master's programmes, grandes écoles, doctorates: graduates go on to the best post-bachelor pathways.

Introduction to research

From year 1: laboratory visits, conferences and supervised projects. A large part of the teaching staff is made up of researchers or former researchers.

Campus & boarding school

LIPPS boarding school

Approximately 90 places reserved for CPES students, open at weekends.

Social diversity

The CPES targets 40% scholarship recipients. Personalised support for all profiles.

Scholarship information

Paris-Saclay campus

Libraries, sports facilities and events from the grandes écoles on the plateau.

Gender parity

The CPES targets a cohort that is 50% women, contributing to gender parity in elite scientific programmes.

Everything you need to know