|Study location||Hungary, Debrecen|
|Type||Master, full degree studies|
|Nominal duration||4 semesters (120 ECTS)|
|Course code||Computer Science and Information Technology|
Bachelor diploma (or higher)
The entry qualification documents are accepted in the following languages: English.
Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.
You must take the original entry qualification documents along with you when you finally go to the university.
Accepted proof of proficiency: FCE or CAE, IELTS 6+ or TOEFL 79+
English language proficiency (TOEFL 547 /IELTS 6.0/Certificate on English medium of instruction)
A motivation letter must be added to your application.
The aim of the program is to train IT professionals who, possessing the solid theoretical grounding necessary to further develop their skills over the long term, are capable of performing, at an advanced level, the typically software-oriented development, implementation and servicing tasks related to IT equipments and systems, working either independently or as part of a team. Participants in this course will also learn the interaction and modeling skills required to solve IT tasks in all the main areas of application. Specializations: Healthcare IT management, Information management systems, Information systems, Image processing and computer graphics, Artificial intelligence, Computer science
Relevant Bachelor degree
Type of entrance exam:
Entrance exam location:
Entrance exam description:
The professional evaluation of the educational materials (degree, transcripts, results) is the task of the relevant Faculty. This evaluation is followed by a Skype interview with one of the professors of the Faculty, which aims to check the applicant’s level of motivation, language skills and professional knowledge. (In case of a missing certificate about the English language proficiency we conduct a Skype interview in order to check the applicant’s English language skills.)
Ms Lilla Fónai
Preparatory year available:
Specialisation year available:
Scientific foundation (30 credits)
Applied mathematics (6 credits)
Computer science (6 credits)
Applied statistics (6 credits)
IT algorithms (6 credits)
Data and system models (6 credits)
Vocational core subjects (48 credits )
compulsory vocational block (20 cre dits)
compulsory vocational block of choice (2 8 credits)
Advances vocational core subjects (16 credits)
optional block (16 credits)
Elective vocational subject s (6 credits)
Thesis (20 credits)