The tech & AI circle ofCPES Paris‑Saclay.
Company visits, meetings, talks, hackathons. Learning tech and AI by watching it being built, and by building it.
01 · Our mission
Turning the multidisciplinary spirit of CPES Paris‑Saclay into a strength in tech and AI.
(1)
Understand
Technologies, how they are used and what they change.
(2)
Build
Real projects, in teams that mix disciplines.
(3)
Connect
Links with companies, labs and alumni.
(4)
Share
What we learn, with our members and beyond.
02 · The programme
Le CPES Paris‑Saclay.
A three-year multidisciplinary and interdisciplinary degree, built in partnership between ENS Paris-Saclay, HEC Paris, Institut Polytechnique de Paris, Lycée International de Palaiseau Paris-Saclay and Université Paris-Saclay.
The Cycle Pluridisciplinaire d’Études Supérieures (CPES) trains multidisciplinary profiles who master data science and AI (mathematics, computer science) and can interpret this data in health or in society, depending on the chosen track.
The CPES Paris-Saclay websiteLength
3 years
A multidisciplinary and interdisciplinary degree.
Common core
Data and AI
Mathematics and computer science: data science at the heart of the programme.
Tracks
Health or society
Interpreting data in the chosen field.
03 · The matrix
One matrix, four formats.
Two axes, four squares. Learn or do, on campus or outside: every Quadrant event has its square, and the symbol lights it up.
Outside
Learn
Field
Learn · outside
Visits to companies, labs and startups, in Paris and around Paris-Saclay.
Link
Do · outside
Quadrant dinners and meetings with executives, alumni and people working in tech and AI.
Talks
Learn · on campus or outside
Talks, panels and sessions with people from tech, AI and research.
Build
Do · on campus
Hackathons, workshops and a build club: team projects, shipped and documented.
Do
On campus
04 · Events
Upcoming events.
Company visits, dinners, talks, hackathons: on campus, in Paris and around Paris-Saclay.
All eventsSoon.
The next event will be announced here and on our social media.
05 · A member’s journey
You join to learn, stay to build, and come back to pass it on.
01 / Talks, Field
Discover
Understand AI and its jobs, alongside the people who make it.
02 / Build
Build
Hackathons, workshops, first team projects.
03 / The circle
Lead
Take on a role: organise an event, launch a project.
04 / Link
Pass it on
As an alumnus, come back to speak, open doors, mentor.
06 · Companies and labs
Four ways in, one per axis.
Multidisciplinary students trained in data science. A visit, a dinner, a talk or a challenge.
Work with QuadrantHost a visit
Welcome a group of students into your teams or your labs.
Join a dinner
Share a Quadrant Dinner with students, alumni and the Quadrant team.
Give a talk
A talk or a panel in front of CPES Paris-Saclay students.
Set a challenge
Suggest a hackathon topic, provide data or tools, meet the teams.