CPES Paris-Saclay

What I take away from the CPES is how wide it leaves your options: the possibility of sitting the entrance exams for business schools, the ENS or engineering schools, or going on to a master’s.

The breadth of the courses and the number of institutions where I was able to study gave me an immediate capacity to adapt.

The mathematics courses in measure theory, probability and analysis meant I arrived at engineering school with every foundation I needed. The projects I carried out at the CPES, in computer science, the solidarity project and above all the Capstone, taught me to run a substantial project from start to finish, to deliver results and to work as a team.

I gained an operational maturity and an ease with complex projects that I would never have acquired in a conventional theoretical course.

What I found at the CPES and would have found nowhere else is the third-year Capstone project, run with the Open Data University. It let me carry out a large-scale project over a year and deal with real clients.

What I appreciated most at the CPES was getting to discover the different partner institutions. It let me picture my future concretely and make an informed choice about what to study next. The wide range of paths taken by the first cohort is the proof. If I had one piece of advice for an undecided final-year pupil, it would be to go for it: to me, this is the ideal programme for taking the time to choose well.

The CPES gave me real ease and a strong capacity to adapt, moving between different worlds, the hard sciences as much as economics and the social sciences, and it opened up opportunities I would not have thought possible had I taken another route.

I come from a secondary school in the provinces, far from Paris, and I wanted to work in health while going abroad. The CPES partners and the breadth of its teaching let me meet both goals and go on to KTH in Stockholm. It was the Capstone project that confirmed my ambition: a professional immersion that made me realise how concretely useful data science can be to the health system.

What I take away from the CPES is how wide it leaves your options: the possibility of sitting the entrance exams for business schools, the ENS or engineering schools, or going on to a master’s.

The breadth of the courses and the number of institutions where I was able to study gave me an immediate capacity to adapt.

The mathematics courses in measure theory, probability and analysis meant I arrived at engineering school with every foundation I needed. The projects I carried out at the CPES, in computer science, the solidarity project and above all the Capstone, taught me to run a substantial project from start to finish, to deliver results and to work as a team.

I gained an operational maturity and an ease with complex projects that I would never have acquired in a conventional theoretical course.

What I found at the CPES and would have found nowhere else is the third-year Capstone project, run with the Open Data University. It let me carry out a large-scale project over a year and deal with real clients.

What I appreciated most at the CPES was getting to discover the different partner institutions. It let me picture my future concretely and make an informed choice about what to study next. The wide range of paths taken by the first cohort is the proof. If I had one piece of advice for an undecided final-year pupil, it would be to go for it: to me, this is the ideal programme for taking the time to choose well.

The CPES gave me real ease and a strong capacity to adapt, moving between different worlds, the hard sciences as much as economics and the social sciences, and it opened up opportunities I would not have thought possible had I taken another route.

I come from a secondary school in the provinces, far from Paris, and I wanted to work in health while going abroad. The CPES partners and the breadth of its teaching let me meet both goals and go on to KTH in Stockholm. It was the Capstone project that confirmed my ambition: a professional immersion that made me realise how concretely useful data science can be to the health system.