|Nominal duration||4 semesters|
|Tuition fee||$3,500.00 per semester|
|Application fee||$150.00 one-time|
|Examination fee||$150.00 one-time|
Undergraduate diploma (or higher)
Who should apply?
We welcome applicants who are interested in broad topics of computer science and applied mathematics, and it is an advantage if the applicant has bachelor studies in computer science or a closely related field.
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.
Academic Records in English or certified translation.
You must take the original entry qualification documents along with you when you finally go to the university.
TELC/ECL B2, TOEFL IBT – 72, PBT – 550, Cambridge FCB, IELTS – 5.5. Applicants are not required to provide the English language exam certificates who are natives of certain countries and can officially demonstrate that their academic studies have been conducted in English. However, these students will also have to obtain an international language proof B2 level by the end of the programme. The list of countries is available on our website
A motivation letter must be added to your application.
Applicants needs to have at least 60 credits from the following topics:
a. mathematical and natural sciences rudiments (at least 15 credits): calculus, numerical analysis, discrete mathematics, linear algebra;
Applicants with less than 60 credits, but at least 30 credits from the list given in A ) will be
Applicants with less than 30 credits from the list given in A ) cannot be accepted to the MSc program.
Admission score: max 100 points
Only applicants obtaining at least 50 points can be accepted
The aim of the programme is to train computer scientists who can develop, create, apply, implement and operate IT systems at an advanced level either individually or as a team member. Furthermore, our programme provides the cooperative and modelling skills required to solve and research IT related problems, and ensures the solid theoretical background necessary to pursue PhD studies.
The basic theoretical fields are Foundations of Computing, Graph theory, and Analysis. These fields are foundational for further, more practice-oriented studies, including Software technology (Advanced programming, Program systems development, Software development, Web technologies, Parallel programming), Image processing, and Artificial Intelligence (Machine learning, Data mining). Research areas cover Foundations of Computing, Algorithms, Artificial Intelligence, Image processing, Optimisation and Software engineering. Our graduates pursue careers in Information Technology.
For more information please visit our website or contact Dr. Tamas Vinko via email@example.com or call +36 62 546 193 regarding the application process or details of the programme.