Overview
The Erasmus Mundus Joint Master in Image Processing and Computer Vision (IPCVAI) is a two-year international programme designed to train highly qualified specialists in artificial intelligence, visual computing, and data-driven image analysis. The programme is jointly delivered by three European universities with strong research excellence in the field: Pázmány Péter Catholic University (Budapest, Hungary), Universidad Autónoma de Madrid (Spain), and Université de Bordeaux (France).
Image processing and computer vision are key enabling technologies behind many innovations shaping modern society, including medical imaging, autonomous vehicles, robotics, smart cities, augmented reality, and multimedia analysis. The IPCVAI programme addresses these challenges through an interdisciplinary curriculum that combines computer science, electrical engineering, applied mathematics, and machine learning.
The programme is fully taught in English and comprises 120 ECTS credits over two years. Students benefit from international mobility by studying in three different European countries, gaining exposure to diverse academic environments and research traditions.
A central component of the curriculum is artificial intelligence, with particular emphasis on machine learning and deep neural networks for analysing images and video. Students learn to design algorithms, implement advanced computational methods, and develop intelligent systems capable of interpreting visual information.
The programme strongly integrates education with research and innovation. Students work closely with research groups, participate in laboratory projects, and gain experience with state-of-the-art technologies in visual computing. In addition, the programme collaborates with an extended network of academic and industrial partners across Europe.
Through internships and applied research projects, students gain practical experience and develop professional skills relevant to industry and research careers. Graduates obtain master’s degrees from the partner universities and are well prepared for employment in high-tech industries such as AI development, computer vision engineering, robotics, and data science, as well as for doctoral studies and research careers.
Accreditation
Erasmus Mundus Joint Masters label
Programme Structure
The programme combines theoretical foundations, practical lab work, and research-oriented training in computer vision, artificial intelligence, and visual data analysis.
Semester 1 – Budapest (Pázmány) Students acquire core foundations of visual computing, including image processing, numerical analysis, machine learning, high-performance computing architectures, and advanced programming methodologies.
Semester 2 – Madrid (UAM) Courses deepen knowledge of visual signal processing and machine learning, with emphasis on deep learning methods for image and video analysis and efficient high-performance computing.
Semester 3 – Bordeaux (Université de Bordeaux) Students explore advanced computer vision algorithms and the development of applications in areas such as multimedia analysis and intelligent visual systems.
Semester 4 – Internship and thesis Students complete an internship with an industry or research partner and carry out a master’s thesis project.
Audience
The programme is intended for motivated students with a background in computer science, engineering, applied mathematics, or related technical disciplines who wish to specialise in artificial intelligence, image processing, and computer vision. It is ideal for applicants interested in research-driven education, and careers in AI development, data science, robotics, advanced technology industries.
Lecturers
Courses are taught by internationally recognised researchers and professors from the three partner universities, together with experts from associated research institutes and industry. Academic staff are active in AI, machine learning, computer vision, signal processing, and high-performance computing, ensuring strong integration between cutting-edge research, innovation, and teaching.
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
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Language
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Credits
Delivered
Campus Location
- Budapest, Hungary
Disciplines
Information Technology (IT) Artificial Intelligence Machine Learning View 6 other Masters in Artificial Intelligence in HungaryWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
Entrance requirements (general requirements)
Applicants must meet the following requirements:
Bachelor’s degree (or equivalent) in computer science, electrical engineering, information technology, applied mathematics, or a closely related technical field
Strong foundations in programming and mathematics, including linear algebra and calculus; prior exposure to signal processing, data analysis, or machine learning is advantageous
English language proficiency at B2 level (CEFR) or higher, demonstrated by an internationally recognised certificate or an official university statement confirming English as the language of instruction
Application documents include:
Europass CV
Bachelor’s diploma and academic transcripts
Motivation letter
Proof of English proficiency
Copy of passport
Passport-style photograph
Recommendation letters may be requested during later stages of the selection process.
Work experience
Relevant professional or research experience may strengthen the application but is not required.
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
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Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Pázmány Péter Catholic University and/or in Hungary, please visit Student Insurance Portal.
Tuition Fees
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International Applies to you
Applies to youNon-residents9000 EUR / year≈ 9000 EUR / year -
EU/EEA Applies to you
Applies to youEU/EEA Nationals4500 EUR / year≈ 4500 EUR / year
Additional Details
Students receiving the EMJM scholarship are not required to pay any participation fees.
Living costs
Budapest
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Students admitted to the programme may apply for Erasmus Mundus Joint Master (EMJM) scholarships, funded by the European Union and awarded to outstanding applicants worldwide.
The scholarship typically covers:
Participation costs of the programme
A monthly living allowance
Travel and installation support
Health insurance
These scholarships enable students to complete the programme’s international mobility track, studying in Budapest, Madrid, and Bordeaux.
Applicants who are not awarded an EMJM scholarship may still enrol as self-funded students, subject to tuition fees. Additional funding may be available through national or external scholarship schemes.
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Image Procesing and Computer Vision.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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