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
Education
For students majoring in mathematics, computer science, or cognitive sciences
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
Series of lectures
Lifelong learning
For mature students
COFUND: Artificial Intelligence for the Sciences (AI4theSciences)
Artificial Intelligence for the Sciences (AI4theSciences) is a doctoral program run by Université PSL. 26 PhD 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 structuring 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 contributes 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 a 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 independant laboratory outside or from a private partner).
Initiated in 2020, AI4theSciences is planned to run for five years, with two doctoral intakes, in September 2021 and September 2022.