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
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.
Capacity
Available Places
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)
From January 19th to March 12th, 2026
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Academic Partner(s)
Training campus
Orsay Bures
Saclay Moulon
