Academic Programs

 The faculty launches study programs at all levels of the educational system.

bachelor programs

  • BSc in Business Informatics (in Hungarian) – 7 semesters, full-time
  • BSc in Computer Science (in Hungarian) – 6 semesters, full-time
  • BSc in Computer Science Engineering (in Hungarian) – 7 semesters, full-time or part-time
  • BProf in Computer Science Operational Engineering  (in Hungarian) – 6 semesters, full-time or part-time
  • BSc in Electrical Engineering (in Hungarian) – 7semesters, full-time program
 
master programs
  • MSc in Computer Science Engineering (in Hungarian and in English) – 4 semesters, full-time or part-time program
doctoral program
  • Doctoral School of Information Science and Technology (in Hungarian and in English), 8 semesters, full-time
higher education vocational training programs
  • Information Technology Engineering at ISCED level 5 (in Hungarian) – 4 semesters, full-time program
  • Software and Information Technology at ISCED level 5 (in Hungarian) – full-time program
postgraduate specialist training
  • Supply chain optimization in petroleum industry, postgraduate program (in English) – 2 semesters, full-time program
  • Large Enterprise IT Systems Administation, postgraduate program (in Hungarian)  – 2 semesters,  part-time program

 

For the application procedure for the English languange 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 100 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:

  • Image recognition, presentation and processing
  • Information systems in medical diagnosis
  • System and control theory
  • Optimization of large-scale industrial systems and processes
  • Deterministic and stochastic dinamical system models
  • 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 a 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. Botond Bertók

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, secutity techniques of information systems, theory of computation, measurement of pictorial information, artifical intelligence, experts systems, operations research)
  • optional professional subjects.

Possible specializations during the study:

  • Software Systems and Computer Networks Specialization
  • Engineering and Healthcare Applications Specialization

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, infocommunication technologies, sensor networks, controlling and optimizing systems.

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