Master in Artificial Intelligence for Image Processing and Computer Vision (IPCVai)
Bordeaux, France
Master degree
DURATION
4 semesters
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
02 Feb 2026
EARLIEST START DATE
Sep 2026
TUITION FEES
EUR 9,000 / per year *
STUDY FORMAT
On-Campus
* for non-EU citizens | 4500 EUR for EU citizens
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's 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).
The IPCVai Master programme trains interdisciplinary specialists in image processing and computer vision. Our graduates can adapt to the various application domains of our field, which can be as diverse as large-scale multimedia indexing, event detection on wearable cameras, image editing, medical imaging, augmented reality, and robotics. They are able to propose innovative solutions in these domains, using AI techniques in a sustainable and controlled manner.
Scientific learning outcomes
- Understanding of mathematical formulations of an image processing problem;
- Analysis of imaging problems, knowledge of the relevant state-of-the-art;
- Detailed understanding of the results of AI methods in computer vision;
- Analysis of the environmental impact of computer vision algorithms;
- Good programming skills in Python, C++, Matlab, and key open-source libraries and programming environments;
- Applications: ability to design, implement, and deploy on different targets, including low-resource computer architectures;
Interdisciplinary competences
- Ability to work in the whole processing chain: acquisition, analysis, and visualisation, within different application areas (e.g. medicine, privacy preservation, movie post-production, augmented reality, robotics, embedded systems for digital agriculture);
- Implementing a variety of classical and state-of-the-art image processing and computer vision algorithms;
- Awareness of the difficulties that may arise when facing heterogeneous technical problems;
- Awareness of the challenges of green computing and trustworthy AI;
- Proposing innovative algorithms to solve new problems arising as visual technologies evolve.
Transferable skills
- Project management, including strategic planning, coordination, and technical development;
- Foundations of entrepreneurship;
- Understanding of tech transfer and patenting;
- Writing and Presentation skills;
- Technical decision-making: ability to formulate correct opinions and reviews;
- Scientific ethics, intellectual property;
- Intercultural awareness, gained through projects where students work in pairs, the “local buddy” system, and language courses.
First semester: PPKE, Budapest
- Basic Image Processing Algorithms
- Data Mining and Machine Learning
- Fundamentals and Basic Tools for Deep Learning
- Introduction to Tutored Research and Development
- Multimodal Sensor Fusion and Navigation
- Biomedical Signal Processing
- Design Patterns
- High-Level Synthesis Methods on FPGAs
- Numerical Analysis I
Second semester: UAM, Madrid
- High Performance Computing for Deep Learning
- Deep Learning For Visual Signal Processing I
- Deep Learning for Computer Vision 2
- Vision for Multiple or Moving Cameras
Third semester: UBx, Bordeaux
- Explainable Artificial Intelligence for Images (XAII)
- AI and sustainability
- Advanced topics in computer vision
- Acquisition, Reconstruction, and Medical Imaging
TOTAL (offered/coursed): 30/30
All students must validate 30 ECTS per semester.
The European Credit Transfer and Accumulation System (ECTS) is a student-centred system based on the student workload required to achieve the objectives of a programme of study. Its aim is to facilitate the recognition of study periods undertaken abroad by mobile students through the transfer credits. The ECTS is based on the principle that 60 credits are equivalent to the workload of full-time student during one academic year.
The IPCVai Master’s programme has once again received the prestigious Erasmus Mundus Joint Masters label and funding for this year. As a result, we are offering scholarships for four student intakes, starting with the 2024-26 cohort. These scholarships will be awarded to a select group of candidates with the highest scores from both the written and oral assessments during the selection process.
The scholarships are full scholarships, providing €1,400 per month for the entire two-year duration of the programme. This amount is intended to cover living expenses, such as accommodation, travel, and materials. In addition, the scholarship also covers the participation costs of the programme, meaning all tuition and administrative fees are fully paid for the scholarship recipients.
Please note that applicants who have already benefited from an Erasmus Mundus Joint Master (EMJM) scholarship are not eligible to receive an additional scholarship under this programme.
Other funding opportunities
Scholarships for funding living expenses
2nd semester (Madrid)
- Erasmus+ scholarship for studies: All students may apply to PPKE for Erasmus+ funding to contribute to their living costs in their Madrid semester (current scholarship rate: 520 EUR/month). This does not exclude other non-EU funding opportunities.
3rd semester (Bordeaux)
- Erasmus+ scholarship for studies: All students may apply to PPKE for Erasmus+ funding to contribute to their living costs in their Bordeaux semester (current scholarship rate: 520 EUR/month). This does not exclude other non-EU funding opportunities.
- Eiffel Excellence Scholarship: For the second year of the program, students may apply for the Eiffel Excellence Scholarship.
4th semester (internship):
- Erasmus+ scholarship for internship: All students may even apply to PPKE for a 2-3 months Erasmus+ scholarship for their internship (570-620 EUR/month depending on the country). Please consider that the maximum length of the Erasmus+ funded period is 12 months (per study cycle [BSc, MSc, PhD]).