The faculty launches three study programs in English:.
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master program; MSc in Computer Science Engineering (in Hungarian and in English) – 4 semesters, full-time or part-time program
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doctoral program; Doctoral School of Information Science and Technology (in Hungarian and in English), 8 semesters, full-time
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postgraduate specialist training; Supply chain optimization in petroleum industry, postgraduate program (in English) – 2 semesters, full-time program
For the application procedure for the English language programs for applicants outside the European Union see the page. Please, note that your application will be considered only after you have transferred the application fee of 150 Euro to the university account!
Doctoral School of Information Science and Technology (in English)
Duration: 8 semesters
Tuition Fee: 2750 EUR/semester (for applicants from outside the EU)
Head of School: Professor Katalin Hangos
Main research areas of the school:
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Image recognition, presentation and processing
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Information systems in medical diagnosis
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System and control theory
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Optimization of large-scale industrial systems and processes
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Deterministic and stochastic dynamical system models
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Applications of combinatorics in information technology
The PhD degree at the Faculty is a taught degree. PhD students must carry out research on an individual basis under the guidance of a professor. Having a new scientific result, they must present it at national and international conferences, furthermore, they have to take part in project works. In order to obtain PhD degree students are required to have at least two publications in refereed international journals. For more details see the homepage of the doctoral school.
Computer Science Engineering Msc (in English)
Duration: 4 semesters
Tuition Fee: 2200 EUR/semester (for applicants from outside the EU)
Head of School: Dr. Attila Magyar
The aim of study is to train IT engineers who are highly qualified in natural sciences and engineering, and are able to design IT systems and devices, develop and integrate IT systems, perform and coordinate research and development activities. They are also provided with appropriate basic theoretical knowledge to continue their studies at PhD level.
Main topics of study
- natural sciences (information theory, combinatorial methods and algorithms, mathematical analysis, numerical mathematics, discrete and continuous dynamical systems)
- professional core courses (discrete event systems, security techniques of information systems, theory of computation, measurement of pictorial information, artificial intelligence, experts' systems, operations research)
- optional professional subjects.
The students also become experienced in project- and team-work working with numerous R&D activities of the faculty with top international companies, and may be involved in research activities. The R&D areas of the faculty include several aspects of IT security, medical informatics, systems engineering, lighting technologies, image processing, info communication technologies, sensor networks, controlling and optimizing systems.