2d year: Mathematics, Computer Vision, and Machine Learning

The Mathematics, Computer Vision, and Machine Learning track is co-accredited through ENS Cachan, École Polytechnique, TELECOM ParisTech, École Centrale de Paris, École Nationale des Ponts et Chaussées, and Université Paris Dauphine.

 

Goals

The Mathematics, Computer Vision, and Machine Learning track offers advanced mathematical and experimental training in analysis and probability that allows students to study a full range of high-level IT and mathematical concepts, models, and techniques that are applicable to computer vision, perception, and machine learning by focusing on active research topics, including artificial vision, automatic signal and image analysis, and the emulation of perceptive and adaptive human behavior. The master’s program is geared towards the rapid and fascinating development of the application of mathematics to modeling and the emulation of human intelligence. This development is in turn supported by the rapid rise of brain sciences.

 

Career and continuing education opportunities

In terms of professional opportunities, students who have successfully defended a thesis or earned a PhD through this type of master’s program can apply to positions at major French-European research laboratories, both private (Aerospace, Alcatel, Sagem, General Electric, Matra, Philips, Siemens, Thomson, Xerox, etc.) and public (CEA, CNES, INRA, INRIA, ISPRA, LETI, etc.).

Students can continue their education through applied mathematics departments or certain information technology departments.

 

Application process

Click here.

 

Directors

Julie DELON

Stéphanie ALLASSONNIERE

 

For more informations, Ecole Normale Supérieure (ENS) Paris-Saclay website.