More information 


Our Virtual Open Day is organised for all who are interested in our study programs.

● Thu 07 December 2023, 3.00 pm CET

REGISTRATION for the Virtual Open Day

Please visit the Faculty webpage for further details:
For further info about the Virtual Open Day, contact us at

See you soon!


Online Nyílt Napot tartunk mindazon érdeklődők számára, akik szeretnének többet megtudni a Karon Diaszpóra Felsőoktatási Ösztöndíjjal megpályázható képzéseinkről.

● 2023. december 7., 3.00 pm CET

A részletekért kísérje figyelemmel Karunk honlapját:
További részletekért vegye fel velünk a kapcsolatot az címen.

Hamarosan találkozunk!


One of the strengths and a special feature of the Computer Science Engineering MSc program at Pázmány ITK is the specific synergy of information technologies and life sciences. Our goal is to teach human-centered information technology with the fundamental concepts of life sciences. The essence of our Computer Science Engineering training approach is that we try to find and understand techniques developed during millions of years in biological systems, and we try to transfer them into engineered informatics environments. In this field of continuously developing technologies we provide the necessary disciplinary fundamentals to facilitate the professionals trained by our Faculty to work at the highest level. The solid theoretical foundations provide efficient support for the interpretation and handling of a generation shift in informatics, therefore our Computer Science Engineer graduates can adapt well to the ever-changing professional environment.

Besides basic natural sciences, our students study the most relevant programming languages and their application in different environments. They become familiar with the principles of complex software systems and artificial intelligence. We emphasize a hardware-based approach and kiloprocessor, as well as reconfigurable architectures. Through the teaching of sensory applications, we open towards the world of info-bionics. Neuromorphic calculations, digital language technology, machine learning or image processing and image analysis are also very exciting and modern fields that can be studied and explored in our Faculty.

Several experimental research laboratories operate at the Faculty, equipped with state-of-the-art and unique sets of instruments. Our students can explore the world of research and development as soon as they start their Master’s studies. Depending on their specialization, our graduates may deepen their theoretical and practical knowledge in the fields of software design, communication networks, intelligent systems, sensing computers, mobile applications or image processing.

International students must attend a Foundation Semester before starting the actual Master’s program.The Foundation Semester is organized in the fall semester. Thus, the actual commencement of the Master’s programs is February. The goal of the foundation semester is to level students for their Master’s program in Budapest, helping to ensure that they can complete their studies successfully. The foundation semester helps students to recap, develop and upgrade the Bachelor-level skills needed to succeed in their Master’s program.

Students may start the four-semester Master’s program upon successful completion of the Foundation Semester.


The following specializations are included in the curriculum of the study program.

● High Performance Computational Tools and Architecture (HPCT)
● Machine Learning for Data Science (MLDS)
● Software Engineering (SE)


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Link to Faculty webpage

Link to Computer Science Engineering Masters program

Detailed information on the curriculum

Programme structure


The actual Master’s Program is preceded by a compulsory foundation semester in the fall term. The foundation semester consists of four three-week-long modules, each module comprising three or four subjects. The courses follow an intensive schedule, and each are concluded by a compulsory exam.

The curriculum of the compulsory foundation semester for the Master’s program in Computer Science Engineering comprises the following subjects: Academic English; Algebra; Calculus; Computer Architectures; Electronics; Hungarian language; Probability and Statistics; Programming 1-2-3-4; Signal Processing

The actual Master’s program (4 semesters) starts in the spring term, upon successful completion of all subjects the foundation semester.


The curriculum of the Computer Science Engineering MSc study program (120 credits) includes the following modules:
- Fundamentals in Natural Sciences (total required: 20-30 credits)
- Economics and Humanities (total required: 9-15 credits)
- Skills in Information Technology, including Specialization subjects (total required: 54-90 credits)
- Thesis Work (total required: 30 credits)
- Other elective subjects (maximum 6 credits)


The specializations developed in the program prepare our students for the following areas of research and development and innovation activities:

High Performance Computational Tools and Architecture (HPCT)
Fast decision making or the real time application of engineering methods often require really high performance computations with a sufficiently low cost. For this, up-to-date software tools and also dedicated hardware architectures are needed. Students choosing this specialization will study the integrated design of such tools in order to push exploitable computational power to the edge.

Machine Learning for Data Science (MLDS)
The efficient and intelligent processing of the increasing amount of data from the technological, natural and social environment is already (and will be) a key factor in maintaining and developing our whole civilization. Students choosing this specialization will study state-of-the art methods for data representation/storage, data mining and model fitting supported by machine learning and artificial intelligence methods. The application fields of this approach are really wide and interdisciplinary starting from classical engineering to bionics and healthcare.

Software Engineering (SE)
Software Engineering is a classical but continuously developing area of Computer Science and Engineering. The development of today’s functionally and possibly spatially distributed networked architectures make software engineering really challenging. Students choosing this specialization will be able to overview, understand and design such complex software systems using the latest development approaches.

Students are required to choose one of the specializations upon enrolment to the Master’s program.

REGISTRATION for the Virtual Open Day

Detailed curriculum of the Computer Science Engineering MSc program

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Not available for applying at the moment
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