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). In the third year, the courses are mainly taught by partners from the University and the Grandes Ecoles. From the first year, students choose their area of specialisation: Data Science and Health or Data Science, Social Sciences and Society.
Information
Skills
In the third year, the curriculum continues with general courses in mathematics, computer science, economics, social policy and health, with a greater emphasis on applications.
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
The third year is open to students who have completed the second year.
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Academic Partner(s)
Training campus
Orsay Bures
Saclay Moulon
