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.

[New in 2023] 

  • To enable all master's and PhD students at PSL University to learn about or specialize in AI and data science, whatever their field of expertise, the DATA program is launching a brand-new certifying minor from the start of the 2023 academic year.
  • The DATA program at Université PSL also offers training for academics in data science and artificial intelligence to all PSL researchers, PhD students and postdoc, adapted to their disciplines and levels (beginners, advanced, expert).


Bachelor - Master
Executive education



For students majoring in other subjects

If you are following a master's degree in another subject than mathematics and computer science, and if you want to include AI in your curriculum, the university-wide Data Science program includes a two-step training:

  • Two-week intensive preparation in order to learn the basics of AI and to equip you with enough background to follow several MASH and IASD Masters' courses
  • Intensive weeks on AI at the interfaces
Preparatory weeks

Two preparatory weeks are offered. These are precontions for the certificate (unless the student demonstrates comparable skills as part of a previous course of study).

  •  Week 1 – Fundamentals of Mathematics and Computer Science (3 ECTS) | The basics of mathematics and computer science for data science. The week can be followed asynchronously.
  • Week 2 - Machine Learning and Database (3 ECTS) | This takes place at the end of August/beginning of September on the PariSanté Campus.

The 2024 program for these 2 weeks will be published soon.

Intensive AI week (PSL week DATA)

Intensive DATA weeks are PSL weeks providing scientific and technical immersion in AI, at the interface with another discipline. 2 ECTS are awarded at the end of each week.

Details of the program can be found on the PSL weeks website.

PSL weeks from 27 November 2023 to 1st December 2024:

  • AI for Economics and Finance
  • Explainability and Interpretability in Artificial Neural Networks
  • Ethique et Intelligence Artificielle
  • NLP for Social Sciences
  • Neuro and Bio-robotics: senses and perception

PSL weeks from 4 March 2024 to 8 March 2024:

  • Digital Humanities meet Artificial Intelligence
  • Machine learning for physics and engineering
  • Green Artificial Intelligence
  • Machine learning in Genomics
  • NLP for Social Sciences
  • Statistical Physics and Machine Learning
  • Data mining and modeling for behavioral sciences and beyond

COFUND: Artificial Intelligence for the Sciences (AI4theSciences)

Artificial Intelligence for the Sciences (AI4theSciences) is a doctoral program run by Université PSL. 26 Ph.D. contracts at the interfaces of artificial intelligence or big data processing are offered. AI4theSciences is supported and jointly funded by the Horizon 2020-Marie Skłodowska-Curie Actions-COFUND European program.

This unique and structured project invites an international audience. It aims to create a research community from multiple PSL laboratories and schools, along with a dozen private and public partners. AI4theSciences is one of the PSL initiatives that contribute to strengthening PSL research on a key challenge of our century. It benefits from a particularly useful and evolving environment for the doctoral students in the program and, more broadly, for the PSL research community.

All disciplines are eligible for co-funding (physics, chemistry, history, economics, etc.) as long as the doctoral dissertation includes artificial intelligence or big data processing techniques. In addition to the training courses specific to each doctoral grant, a program of training courses and specific events will be created: first courses on AI/big data, seminars, conferences, etc. Each doctoral student will benefit from dual supervision composed of a PSL dissertation adviser specialized in their discipline and a co-adviser specialized in artificial intelligence or big data techniques (possibly from an independent laboratory outside or a private partner).

Initiated in 2020, AI4theSciences is planned to run for six years.



Alexandre Allauzen (ESPCI Paris - PSL)

Data minor

(For PSL students)

More information

Data science & AI for academics

(For PSL researchers, Phd students & postdoc)

More information