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Image Processing and Computer Vision (IPCV)

About This Masters Degree

Course Description

Academic cooperation
Consortium of 3 universities:
››Pazmany Peter Catholic University, Budapest, Hungary
››Universidad Autónoma de Madrid, Spain
››University of Bordeaux, France

Program outline
The International Master Program in Image Processing and Computer Vision provides specialized training in a field of increasing importance in our daily lives. It is essential in domains such as medicine, surveillance, industrial control, remote sensing, e-commerce and automation. The program covers a wide range of methods in computer vision thus guaranteeing highly-qualified graduates in this field.

Three partner universities, with internationally recognized experience in these domains, have pooled their complementary expertise and developed this international postgraduate cooperation initiative. 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.

In order to benefit from the knowledge of these three partner universities and their professors, students spend an entire semester in each university. All students follow the same curriculum with some optional courses. The program is organized as follows:

Semester 1: PPCU, Budapest, Hungary.
Semester 2: UAM, Madrid, Spain.
Semester 3: UBx, Bordeaux, France.
Semester 4: Internship in academic laboratory or industries.

››International program taught by experts from three different universities in Europe.
››Triple Master degree.
››International mobility period in three countries.

And after?
After graduation, students have access to career opportunities such as engineers or further research as PhD students. Their educational background makes them attractive candidates for companies in the following areas:
››Medical imaging
››Personal assistance
››Industrial control
››Remote sensing
››Software publishing

More information:


Entry Requirements

Candidates must fulfill the following requirements:››Hold a Bachelor degree in Science from one of the threepartner universities;››Have achieved an average grade of at least “Good” (accordingto local criteria) in the courses completed before the mobilityperiod;››Have adequate knowledge of written and spoken English,equivalent to B2 according to the CEFR.

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