The EMJM IPCVAI gathers three European Universities, leading in the field of image processing and computer vision: Pázmány Péter Catholic University, Budapest, Hungary (PPKE), Universidad Autónoma de Madrid, Spain (UAM) and Université de Bordeaux, France (UBx). The IPCVAI Master aims to cover the interdisciplinary fields of image processing and computer vision, which derive from topics such as electrical engineering, applied mathematics, computer science, and computer engineering, all covered by our consortium, with increased content of artificial intelligence (AI) neural models applied to the IPCV domain.
The overall objective of the IPCVAI program is to provide and enhance an attractive joint international program that, via our innovative training actions and capacity-building initiatives, is a reference in the Image Processing and Computer Vision domain. Fully taught in English, this 120 ECTS master program is an invaluable and highly demanded source for top-qualified professionals, which helps cover an increasing talent gap in today’s high-tech companies. The program leads to Three Master’s Degrees in Image Processing and Computer Vision and has the ambition to provide Joint Degrees. It is set up with the contribution of an extended network of associated partners, who provide our graduates with knowledge, expertise, and internships.
The consortium spearheading the IPCVAI program ensures the presence of a technology-focused education in Europe that has a strong impact in making a highly qualified workforce available in this field while strengthening the research and development activities as well as integrating its state-of-the-art knowledge in the education sector. Our IPCVAI graduates are our best brand ambassadors, and they continue to carry the study program’s acclaim into the world of work or other higher education institutions (i.e., PhD, research).
Processing images and videos is essential in domains such as public health, surveillance, industrial control, embedded systems, robotics, etc. The IPCVAI programme offers extensive theoretical and practical knowledge to train highly-qualified graduates in this field.
