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 (57 ECTS)
    This category includes all classes entirely dedicated to the field of interest.
     
  • Optional classes (18 ECTS)
    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 (8 ECTS)
    The project begins during the second semester and ends during the third semester.
     
  • Project management (3 ECTS)
    This class introduces students to the tools commonly used by companies for handling new-technology projects.
     
  • Training period (30 ECTS)

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.