Computer Science Engineering MSc
Beside Hungarian companies and institutions, international firms are also interested in our graduates. Those who acquire their diploma at our Computer Science Engineering program have no problems finding employment. Labor market surveys indicate that there is a growing demand for computer engineering/ informatics graduates.
In addition to the theoretical foundations of natural science, students study several program-ming languages and their applications in diverse environments. They also get acquainted with methods for designing complex software systems as well as the principles of artificial intelligence. Unlike other Computer Science Engineering programs, we put a special emphasis on hardware related issues, kilo-processor architectures and preconfigurable architectures, as well.
The International Master Program in Image Processing and Computer Vision (IPCV Program) 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. Three partner universities, with internationally recognized experience in these domains, Pázmány Péter Catholic University, Budapest, Hungary, Universidad Autónoma de Madrid, Spain, and University of Bordeaux, France have pooled their complementary expertise and developed this international postgraduate cooperation initiative. The result is a high-qual¬ity, 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.
Duration of the program is 2 years (120 ECTS) and the course language is English. Students who successfully complete the IPCV International Master Program, including the compulsory mobility period, receive a national degree from each partner university.
- Sensing Computers and Neuromorphic Robots
- Software Technology
- Language Technology
- Micro- and Nano-technology
- Financial Informatics
- Image Processing and Computer Vision