Erasmus+ Mundus - Joint master’s degree in image processing and computer vision - IPCVAI Program

Deadline: February 06, 2025

Scholarships

Master

Location(s)

  • France
  • Hungary
  • Spain
Bordeaux, Budapest, Madrid

Overview

The two-year Erasmus+ Mundus Joint Master’s Degree (EMJMD) in Image Processing and Computer Vision (IPCV) provides specialists in a field of increasing importance in our daily lives. Processing images and videos is essential in domains such as medicine, surveillance, industrial control, remote sensing, e-commerce, automation, etc. IPCV offers theoretical and practical knowledge to form highly-qualified graduates in this field.

Details

Three partner universities, with internationally recognized experience in these domains, have pooled their complementary expertise and developed this master course. The result is a high-quality, strongly recognized, triple Master degree that respects the 120 ECTS syllabus, and is well adapted to job market criteria (read more about career perspectives). All students follow the same course curriculum and spend an entire semester in each university:  

  • Semester 1: Pazmany Peter Catholic University, Budapest, Hungary (PPCU)
  • Semester 2: Universidad Autónoma de Madrid, Spain (UAM)
  • Semester 3: University of Bordeaux, France (UBx)
  • Semester 4: Internship in academic laboratory or industries

The Master programme is built upon existing curricula in information technology, engineering, applied mathematics and computer science. These four fields have been gathered together to propose an excellent and well-designed curriculum. Each semester has its own objective:

  • 1st semester: Pazmany Peter Catholic University, Budapest, Hungary (PPCU)
    The objective of the first semester is to provide all students with the same fundamental and theoretical knowledge in mathematics, electronic computing, signal and image processing, sensors and parallel computing. It ensures that students from a variety of backgrounds (some with a Bachelor in only one of these specializations) will be ready for the following semesters. 
  • 2nd semester: Universidad Autónoma de Madrid, Spain (UAM)
    The second and third semesters are entirely focused on image processing and computer vision problems. During the second semester, students study medical image processing and analysis, biometrics, computer vision for surveillance problems, and image classification. 
  • 3rd semester: University of Bordeaux, France (UBx)
    This final semester of study provides the students with more advanced knowledge on programming and addresses video coding, satellite image processing, and multi-dimensional imaging. Finally, a project-management class is mandatory. 
  • 4th semester: Training period
    The last semester is dedicated to an internship at a company or research laboratory anywhere in the world.

Each semester is awarded 30 ECTS, with classes ranging from 3 to 6 ECTS. These classes can be categorized as follows:

  • Fundamentals: This category corresponds to intensive, one-week courses (mathematics, signal processing, computer science, programming tools), scheduled at the beginning of the first semester, ensuring that students from different backgrounds gain sufficient knowledge to pursue the IPCV programme. These classes are mandatory for all students not having successfully passed an initial test. No credits are awarded. 
  • Core classes: This category includes all classes entirely dedicated to the field of interest. 
  • Optional classes: Each student will have the possibility to sign up for optional classes during the first semester. We will advise each student individually, to tailor the options to the student’s interests and previous curriculum. 
  • Tutored research and development project: The project begins during the second semester and ends during the third semester. 
  • Project management: This class introduces students to the tools commonly used by companies for handling new-technology projects. 
  • Training period

All three partners offer students an excellent scientific environment and top-quality facilities. The entire teaching staff is made up of researchers, which ensures that the courses incorporate recent advances in the field. Furthermore, students receive individual attention from the teaching and administrative staff to help them solve any problems that may arise.

Opportunity is About


Eligibility

Candidates should be from:


Description of Ideal Candidate

Candidates from all countries can apply to the International Master Program in Image Processing and Computer vision.

All candidates must have already obtained a first higher education degree (Bachelor, 180 ECTS) before the program starts or demonstrate a recognised equivalent level of learning according to national legislation and practices, with excellent grades and/or other study results. Good proficiency in English is required.

Applicants must fulfill the following requirements:

  • Hold a Bachelor degree or equivalent in engineering science, mathematics, computer science or signal processing before the program starts.
  • Average grade of at least “Good” according to local criteria in the courses concluded before the mobility.
  • Must have an adequate knowledge of written and spoken English, equivalent to B2 according to the CEFR B2 or IELTS score of 6.5 or TOEFL of 90. Native English speakers do not have to submit English test results.

Dates

Deadline: February 06, 2025


Cost/funding for participants

The IPCVai Master programme has obtained again this year the Erasmus Mundus Joint Masters label and funding, meaning we offer scholarships for 4 intakes of students, beginning with the 2024-26 intake. These scholarships are offered to a limited number of candidates with the highest scores following the written and oral evaluation in the selection process.

They can be considered as full scholarships, with the amount being 1400€ per month for the 2 year duration of the programme. This amount is intended to cover all costs incurred by students’ participation in the Master programme (accommodation, travel costs, subsistence costs, materials etc).

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