

Bordeaux University offers a two-year, full-time Master of Science in Image Processing and Computer Vision (IPCV), delivered on-campus. This program provides an in-depth study of image processing, machine learning, and computer vision techniques. Students will gain practical skills in developing algorithms for visual data analysis and recognition, with applications in fields such as robotics, healthcare, and autonomous systems.
Graduates will be well-prepared for careers in computer vision, image processing research, and AI-driven technology development, with expertise in advanced visual data interpretation and machine learning. The university’s cutting-edge labs and expert faculty ensure students are equipped to tackle complex challenges in the rapidly evolving field of artificial intelligence.
Semester 1 - Foundations in Image Processing and Computer Vision
Semester 2 - Advanced Image Processing and Computer Vision
Semester 3 - Specialization & Applied Research
Semester 4 - Master’s Thesis & Final Project
Graduates of the Image Processing and Computer Vision (IPCV) program are well-prepared for careers in artificial intelligence, machine learning, and computer vision. They can work as image processing engineers, computer vision specialists, data scientists, and AI researchers. With the growing applications of image recognition and machine learning across industries such as healthcare, security, and autonomous vehicles, professionals in this field are in high demand. Graduates often work in tech companies, healthcare organizations, research labs, and startups, developing cutting-edge technologies in AI and computer vision.
The IPCV program offers students a comprehensive understanding of image processing, computer vision, and AI techniques. Students gain hands-on experience in developing algorithms for image recognition, object detection, and machine learning, preparing them for roles in AI development and research. The program’s focus on practical applications ensures that graduates are equipped to contribute to advancements in autonomous systems, healthcare technologies, and AI-driven industries.
For further information, please contact the admissions office at:
Phone: +33 5 40 00 60 00
Email: international@u-bordeaux.fr
Address: University of Bordeaux, 351 Cours de la Liberation, 33405 Talence, France