Opportunities to enhance learning
Télécom ParisTech has developed partnerships in France and internationally to enhance your learning experience and open up new horizons.
With a mandatory international experience and personal and professional skills internships at laboratories or companies, the school provides students with a variety of off-campus learning opportunities.
Mobility opportunities in France and abroad
Students are required to spend a minimum of 11 weeks abroad over the course of the program. As such, the School has developed a wide range of partnerships for international mobility.
In your third year, you may also choose to take part in an exchange program at one of Télécom ParisTech’s partner institutions in France. These programs may be selective and have specific eligibility criteria.
In order to prepare you for the real-world issues you will face in your professional life, you will complete internships over the course of your studies at Télécom ParisTech.
Close relationships with industry
The worlds of industry and research are at the very heart of training at Télécom ParisTech, and are constant points of reference in teaching and learning methods. The school gives students the opportunity to attend 90 events a year, where they can meet professionals from major groups, SMEs and mid-caps, start-ups etc.
Latest News
How the FTC Became a “Super CNIL”
Confiance numérique, Enseignants-chercheurs — 20/08/19Some French readers objected to my calling the FTC the “most powerful privacy regulator in the world.” Others objected to my comparing the FTC to a [...]
Data reliability, a key challenge for artificial intelligence
Data science & IA — 15/07/19The volume of data stored on our planet, which can be collected by a range of equipment and sensors, backed up on the “cloud” or shared on the Internet, has reached a [...]
Frédéric Grillot OSA Senior Member
Enseignants-chercheurs — 10/07/19Frédéric Grillot is a professor specialist in optics at Télécom Paris. OSA (Optical Society) Senior Members are well-established [...]
Best Paper Honorable Mention at ICML 2019
Data science & IA — 17/06/19The paper entitled A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks is awarded a Best Paper Honorable [...]
Spinoffs : Télécom Paris top ranked by U-Multirank
— 06/06/19In the U-Multirank dimension for knowledge transfer, as measured by the number of spin-offs founded by universities, two French institutions were the top performing ‘open border’ [...]