Data Science Program

The production and collection of massive amounts of data, combined with advances in storage, analysis and processing capacities, opened up unprecedented scientific perspectives in many disciplines, such as life sciences, cognitive sciences, astrophysics and quantitative sociology.
The Data Science cross-disciplinary program covers the PSL education in AI and at the interfaces of other scientific disciplines.
Thanks to the scientific richness of PSL in AI and other scientific disciplines and its involvement in the PRAIRIE institute, the Data Science cross-disciplinary Program offers a training of excellence in AI for students with any background.

The Data Science program at a glance


For students in Mathematics, Computer Science, Cognitive Sciences

For students with other majors

If you're not majoring in Mathematics and Computer Science and you want to receive education in AI, the cross-disciplinary program offers a two-step training:

  • An immersive week to acquires the fundamentals in AI and be prepared to attend some of the courses available in MASH and IASD Master's degrees ;
  • Intensive weeks on AI at the interfaces.


Lifelong education

For professionals

Statistics and big data Executive Master's degree
Artificial Intelligence and Data Sciences Executive Master's degree
Certificate in Data Sciences
Certificate 4.0

Series of lectures

COFUND: Artificial Intelligence for the Sciences (AI4theSciences)

Artificial Intelligence for the Sciences (AI4theSciences) is a cofunded program for 26 doctoral contracts, hosted by Université PSL starting in 2020 and for 5 years. It is supported and jointly funded by the highly selective European program Horizon 2020 - Marie Skłodowska-Curie Actions-COFUND.

This unique, structuring and international project aims to create a research community from multiple PSL laboratories and schools, along with a dozen of private and public partners. AI4theSciences will co-fund for 26 doctoral fellowships on the interfaces of AI or massive data processing. Artificial Intelligence for the Sciences is among the initiatives that contribute to strengthen PSL's research on our century's highest stakes. PSL Université also offers the ideal environment for doctoral students and, more broadly, for PSL researchers.

The PhD positions are available in all PSL disciplines (physics, chemistry, history, economics, etc), as long as they use artificial intelligence or massive data processing techniques. The students will not only receive a training specific to each PhD project, but also common courses and events: they will all be trained in AI/Big Data techniques, seminars, lectures, etc. Each doctoral student will benefit from a joint supervision: a dissertation adviser, by a PSL expert in the chosen subject, and a co-supervision by another expert in AI techniques or Big Data – who may work for laboratory outside PSL or for a private partner located in France or in Europe.

The AI4theSciences program, started in 2020, will last for 5 years and two doctoral admissions will take place: in September 2021 and in September 2022.

COFUND launched a call for PhD project in two steps:
  • First step: all PSL scientific teams who wish to monitor a doctoral student were invited to submit, for AI4theSciences PhD project, dissertation topics (two-page presentation). Laboratories could submit any topic without maximum number.
  • Second step: calls for PhD projects were released on Euraxess, students may submit their applications (November 2020 - February 2021). Students admitted will start their PhD work at the beginning of the 2021 academic year. Applicants should not have lived or carried out their main activity (work, studies, etc.) in France for more than 12 months in the 3 years immediately before the deadline of the call (MSCA Mobility rule), namely between the 27th of February 2018 to the 26th of February 2021. However applicants may be French and may have passed their Master's year 2 in France.


Head of the Data Science program:

Jamal Atif

COFUND Call for PhD projects

Futher information


The project team is available at: