Space applications
training courses

Ingénieur Télécom Paris

• Organisation : Télécom Paris (Institut Polytechnique de Paris)
  (Institut Polytechnique de Paris)
• Way of training : Initial education
• Language(s): French
• Place: Paris
• Prepared diploma/grade/title: Diplôme d’ingénieur (French national engineering degree)
• 1st required level : French baccalauréat + 2

Course Details

Objectives : The generalist digital engineering training at Télécom Paris makes our graduates engineers open to the world.

The training is indeed rich, composed of a common multidisciplinary base both technical with mathematics, physics-electronics, computer-algorithmic and human with economics, management, sociology and languages ??to train responsible engineers.

Its major projects throughout the training allow students to learn autonomy and collaborative work and to be in touch with the reality of businesses and the world of scientific research.

International openness and the obligation to do part of their education abroad gives our students the skills to become engineers and managers capable of evolving in an international context, of piloting projects in a multicultural environment and pursue careers abroad.

Possible specializations in 3rd year:
3D Option and Interactive Systems
Major digital infrastructures option
Picture option
System circuits and communicating objects integration option
Artificial intelligence option, in partnership with ENSTA Paris
Option Management, Innovation, Digital, in partnership with SciencesPo
Option Random modeling and scientific calculation
Quantum Engineering Option
Data Science Option
Network Security and IT Infrastructure Option
Embedded Systems Option
Advanced Distributed Software Systems Option

Public concerned : Students

Degree Level (EU) : 7 - (EQC level or equivalent)

Duration and terms : 6 semesters

Dedicated web site : https://www.telecom-paris.fr/fr/ingenieur/votre-formation-dingenieur

Space Technologies and Scientific Disciplines

• Robotics and autonomous systems (Control systems, guidance, navigation...)
• Data processing and analysis (Signal and image processing, big data, learning algorithms, artificial intelligence...)
• Telecommunications (Space communications, Information and Communication Technologies, Internet of Things)