Career opportunities
Upon completing the 3-year Cycle Pluridisciplinaire d’Études Supérieures (CPES), students validate 180 ECTS credits and are awarded a degree issued by Université Paris-Saclay in partnership with Institut Polytechnique de Paris and HEC Paris, conferring the bachelor’s degree grade (Decree no. 2023-937 of 10 October 2023 granting bachelor’s degree status to CPES Paris-Saclay graduates). This grade is recognized for entry into master’s programmes and for international mobility.
From the second year of the bachelor onwards, master’s presentations are organised by the partner institutions to support students in their further studies at master’s level.
Graduates may continue their higher education in university master’s programmes (in particular those of Paris-Saclay) or in grandes écoles programmes, especially those offered by the partner institutions with specific pathways adapted to CPES profiles. They may also pursue master’s programmes at foreign universities applying data science across a wide range of fields, or enter grandes écoles (engineering schools, écoles normales supérieures) through the university pathway, according to each institution’s own admission process.
Outcomes for CPES Paris-Saclay graduates
The first cohort (CPES26) has 33 graduates. Their further studies span universities, engineering and business grandes écoles, research institutes and selective master’s programmes, in France and abroad.
École Supérieure des Travaux Publics (ESTP) Engineering programme
Télécom Paris Engineering programme
EDHEC Grande École programme
HEC Paris Grande École programme (MiM)
CentraleSupélec Engineering programme
Enguerrand ROQUES BAHEZRE DE LANLAY HEC Paris Grande École programme (MiM)
CentraleSupélec Engineering programme
KTH Royal Institute of Technology Master in Data Driven Health
IMT Atlantique Engineering programme
HEC Paris Grande École programme (MiM)
Institut Polytechnique de Paris (IPP) Master in Quantitative Sociology and Demography (SQD)
EDHEC Grande École programme
Paris Sciences et Lettres (PSL) Master in AI and Society
École Polytechnique Engineering programme
Charlotte RAVELOMANANA GONZALO KTH Royal Institute of Technology Biostatistics & Data Science
HEC Paris Grande École programme (MiM)
ENSAI Engineering programme
Institut Polytechnique de Paris (IPP) Master in Quantitative Sociology and Demography (SQD)
CentraleSupélec Engineering programme
CentraleSupélec Engineering programme
Université Paris-Saclay Master in Computer Science for Data Science (ISD), apprenticeship track
Université Paris-Saclay Public Health
Télécom SudParis Engineering programme
Centrale/ESSEC Master in Data Science and Business Analytics
Institut Polytechnique de Paris (IPP) Master in Quantitative Sociology and Demography (SQD)
École Supérieure des Travaux Publics (ESTP) Engineering programme
Télécom Paris Engineering programme
EDHEC Grande École programme
HEC Paris Grande École programme (MiM)
CentraleSupélec Engineering programme
Enguerrand ROQUES BAHEZRE DE LANLAY HEC Paris Grande École programme (MiM)
CentraleSupélec Engineering programme
KTH Royal Institute of Technology Master in Data Driven Health
IMT Atlantique Engineering programme
HEC Paris Grande École programme (MiM)
Institut Polytechnique de Paris (IPP) Master in Quantitative Sociology and Demography (SQD)
EDHEC Grande École programme
Paris Sciences et Lettres (PSL) Master in AI and Society
École Polytechnique Engineering programme
Charlotte RAVELOMANANA GONZALO KTH Royal Institute of Technology Biostatistics & Data Science
HEC Paris Grande École programme (MiM)
ENSAI Engineering programme
Institut Polytechnique de Paris (IPP) Master in Quantitative Sociology and Demography (SQD)
CentraleSupélec Engineering programme
CentraleSupélec Engineering programme
Université Paris-Saclay Master in Computer Science for Data Science (ISD), apprenticeship track
Université Paris-Saclay Public Health
Télécom SudParis Engineering programme
Centrale/ESSEC Master in Data Science and Business Analytics
Institut Polytechnique de Paris (IPP) Master in Quantitative Sociology and Demography (SQD)