Master 2
Master 2 is organised over two semesters (one academic year). The first semester requires 30 ECTS (European Credits Transfer System). It starts around the end of September and ends at the beginning of February. However, the second semester (30 ECTS) is achieved as a 5-6 months internship (see below). Essentially, the purpose of these two semesters is to provide students:
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Advanced applied data processing (signal and image processing),
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Advanced application computer vision and AI development.
Admission requirements
At least a Bachelor's degree, "4 years of university studies" in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Physics, Information Technology, or equivalent. For the french education system a "Master 1" is required (e.g. Science Pour I’Ingénieur, Computer science, Mathematics, Physics,...), or equivalent.
Biometrics II
On-campus/Online
This course requires as a prerequisite the course "Biometrics I". After an overview, advanced biometric technique are considered.
Credits
6
Emerging technologies (AR/VR/Smart systems)
On-campus/Online
This course is organised into two parts: virtual and augmented realty (part I), and smart systems ( Part II).
Credits
3
Computer vision and Machine-learning II
On-campus/Online
Advanced computer vision, including 3D vision, is presented. In parallel, modern machine-learning using deep-learning are presented in the section Machine-learning.
Credits
6
Research and professional culture
On-campus/Online
Writing a research paper, and choosing a journal for publication will be discussed. On the other hand, professional culture will be introduced by some of our professional partners.
Credits
3
AI and innovation workshop
On-campus/Online
Through numerous workshop sessions, students get the opportunity to reveal their creativity by embedding AI solutions in software systems.
Credits
6
Project III
On-campus/Online
It will be the last project before moving to the internship. Students are asked to embed all their advanced knowledge in some useful applications in AI, Biometrics and computer vision.
Credits
6