Information Technology in the Service of Humanity

Computer Science Engineering MSc

Join our Online Open Day
to learn more

Monday 19 February 2024, 3.00 pm CET
(Central European Time)

The Symbiosis of Life Sciences and Technology

Our approach revolves around observing functional techniques that have evolved in the natural world over millions of years and building these insights into the designed world of information technology. Our goal is to create new, innovative solutions through the close collaboration of life sciences and informatics, contributing to the development of the technological world and enhancing the quality of human life.

Modern Technologies, Marketable Knowledge

We place particular emphasis on hardware issues, including kilo-processors and reconfigurable architectures. Through the education of sensor applications, our curriculum also opens doors to the world of info-bionics. Neuro-morphic computations (mimicking the nervous system), digital language processing, machine learning, data science, image processing, and analysis are all exciting and contemporary areas that can be studied and researched at our Faculty.

Key Focus Areas

Software Design and Mobile Applications

Artificial Intelligence

Non-conventional Computing

Image Processing, Computer Vision

Prompt Engineering

Database Management,
Big Data

Robotics, Control Systems

Parallel Systems



György Cserey


Head of the Sensory Robotics Laboratory, an expert in artificial intelligence. He is associated with seven patents. Numerous companies employ various sensors developed in collaboration with his students.

György Csaba

Associate professor

He earned his doctoral degree at the University of Notre Dame. A significant part of his research on spin wave calculations was conducted in collaboration with the Technical University of Munich (TUM).

András Horváth

associate professor

Lecturer and researcher in artificial neural networks, computer vision, image processing, and artificial intelligence. Head of the Intelligent Sensing and Learning Laboratory at Pázmány ITK. Numerous publications presented at forums of major global importance are associated with him.

István Reguly

associate professor

Lecturer and researcher in parallel programming and architectures, ensuring the operation of large neural networks. Head of the High-Performance Computing Research Group at Pázmány ITK. The majority of his research has been conducted in Oxford.

Kristóf Karacs

associate professor

One of the leaders of the Hungarian Bionic Vision Center an expert in artificial intelligence. His research areas include computer vision, sensor-based parallel processing, and learning in partially observable environments.

András Oláh

associate professor

Lecturer and researcher in the fields related to wireless data transmission technologies, with a primary focus on communication protocols of sensor networks.