ITXR is a two-year (120 ECTS) Master managed by Télécom Saint-Etienne which is part of the MANUTECH SLEIGHT Graduate School. It provides an innovative approach combining imaging technologies and extended reality and aims to train highly skilled experts in:
- Computational Imaging (image processing and computer vision)
- Machine Learning (data analysis, machine and deep learning)
- Computational appareance (Light Matter Interaction and Materials Appearance: from physics to realtime 3D visualization)
- XR technologies
ITXR offers a pedagogical programme that allows students to acquire, during the first semester, fondamental skills in programming, imaging, data analysis, XR devices. The second semester is dedicated to address topics around computational imaging (image processing and computer vision), machine and deep learning and 3D and data visualization.
The second year of this master’s degree aims to apply all the skills acquired with a semester 3 dedicated to specialized courses in: user interface, lighting, material appearance and computer vision, all applied to XR. The last semester is devoted to an internship with a master thesis writing.
The course catalogue is available here.
ITXR is linked to the ERASMUS MUNDUS – PARTNERSHIP WITH JAPAN Master of Science Imaging and Light in Extended Reality (IMLEX) and the ERASMUS MUNDUS Master Photonics for Security Reliability and Safety (PSRS). It shares, during the first year, several courses of these 2 programmes which are also part of the MANUTECH SLEIGHT Graduate School.
Students in this master’s program will benefit from the innovative equipments of the IXR (Imaging and eXented Reality) technological platform.
Courses are taught in English and are structured according to the European Credit Transfer System with 120 credits over four semesters of full-time studies.
Applicant with at least a BSc degree level (180 ECTS) or equivalent, in computer vision, computer science, mathematics or equivalent are invited to apply. The applicant is required to have a good background in computer science.