The interdisciplinary field of info-bionics combines the fields of computer science, electronics, and biotechnology. Our Info-bionics Engineering Master’s program aims to develop complex modeling competencies as well as the operation and design of tools for our students. A deep understanding of biological processes and measurements strengthens the development of engineering solutions, tools, computational algorithms, and models used in biological systems.

A deep understanding of biological processes and measurements (e.g.: neural signals, communications, cell-cell interactions, data processing of living organisms) helps us develop engineering solutions, instruments, devices, computational algorithms, and models to augment or supplement a biological system. These also help measure, control, and operate vital processes affecting living organisms and the quality of human life.

Application and research examples: prostheses, rehabilitation, bionic eyeglasses, brain-computer interfaces, neural electrodes, limb actuation, wheelchair navigation or minimally invasive surgery tools, multimodal medical imaging, bioinformatics, intelligent or sensory-actuating robotics, nanosensors.

We welcome you to join us if you have previous training in molecular biology, electrical engineering, image processing, or neuroscience.

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


Specialization in Bionic Interfaces

In the Bionic Interfaces specialization, we focus on the tools needed for human-machine interfaces. Focused knowledge is necessary to understand how to interface with the human body in different ways and to obtain a control signal or feedback sensory information. These can be used to drive prosthetic limbs or replace lost sensory or locomotor functions. Useful new and innovative knowledge can be obtained in the fields of sensory robotics for medical rehabilitation devices, performance measurement and improvement for athletes, and ways to interact with computers.

Specialization in Bio-nano Sensors and Imaging Devices

In the bio-nano sensors and imaging devices specialization, we focus on the new devices for multimodal medical imaging. Specialized knowledge is required to understand the principles of operation of different sensor and actuator devices, as well as the interaction of matter and photons (electromagnetic radiation). Applying this, we can create complex devices that allow us to look in ever greater detail into the functioning of our tissues, even at the molecular level, in an increasingly non-invasive way. By further developing such devices, new features can be added to both the diagnostic and therapeutic capabilities of medical imaging. By mastering them, useful knowledge can be acquired within this specialization, including new and innovative tools and devices.

Specialization in Systems Biology

The specialization in systems biology focuses on the interaction and system-level behavior modeling of biological systems. In-depth molecular and cellular knowledge, nonlinear dynamical systems, and skills in mathematical modeling, as well as appropriate parallel programming skills, are required to construct and interpret successful model systems. The models include molecular reaction kinetic networks, protein-protein interactions, cell networks, and epidemiological modeling. We also deal with the issues of operation and dynamics of these networks, as well as their regulation in the subjects of this specialization. The goal is to be able to create predictive models that can be used in diagnostics and therapy to develop or complement new products and services based on the results of quantitative medical research.

Specialization in Neural Data Science

In the neural data science specialization, our focus is on the data set and its interpretation generated in quantitative neuroscience research. Applied neuroscience, data science skills, and machine learning are required knowledge to interpret the large amount of data generated during quantitative neuroscience measurements and to apply it in the development of diagnostic or therapeutic tools. Students who choose this specialization will have the opportunity to gain insight into the broad spectrum of quantitative neuroscience research, in terms of the tools and the data, and the data processing algorithms. By applying modern machine learning methods and tools, students can gain useful knowledge with new and innovative potential and become part of a new era of quantitative neuroscience research and development. The specialization is taught in close cooperation with research laboratories and researchers from IEM, RCNS, and HAS.


The curriculum of the study program (120 credits) comprises the following modules:

  • Fundamentals in Natural Sciences and Mathematics (total required: 15-25 credits)
  • Economics and Humanities (total required: 5-15 credits)
  • Skills in Neural Sciences and Electrophysiology (total required: 11-22 credits)
  • Skills in Electronics and Computer Sciences (total required: 11-30 credits)
  • Specialization (total required: 30-50 credits) 
    • Specialization in Bionic Interfaces 
    • Specialization in Bio-nano Sensors and Imaging Devices
    • Specialization in Systems Biology
    • Specialization in Neural Data Science
  • Project Work and Thesis Work (total required: 42 credits)
  • Other elective subjects (maximum 6 kredits)


Deadline for application: March 15

The Master's Program starts in September with a compulsory Foundation Semester (in the Fall semester) for international students. Students may proceed to their actual Master's studies only after successful completion of the Foundation Semester.


Application requirements:

All candidates must hold a first higher education degree (Bachelor, 180 ECTS) before the program starts or demonstrate a recognised equivalent level of learning according to national legislation and practices, with excellent grades and other study results (diploma rating of min 75%). Good proficiency in English is required.

  • Bachelor degree or equivalent in one of the following:
    • Molecular Bionics Engineering
    • Biochemical Engineering
    • Electrical Engineering
    • Chemical Engineering
    • Biology
    • Chemistry
    • Computer Science Engineering

Holders of BSc degrees other than the ones listed will go through a validation process by the Credit Transfer Committee. 

    • The minimum requirement to be eligible for the entrance exam is 50 credits in the following areas:
      • Fundamentals in natural sciences (analysis, algebra, discrete mathematics, probability calculus, mathematical statistics, organic chemistry, biochemistry, molecular biology, molecular physics) – 30 credits
      • Economics and humanities (economics, business economics, management knowledge, history of science, legal knowledge, other human knowledge) – 15 credits
      • Skills in electronics and computer sciences (electronic circuits, electronic physics, signal processing, information theory, computational and algorithm theory, programming languages, program design, digital systems, database management, bioinformatics) – 20 credits
      • Skills in biophysics and neuroscience (biophysics, genetics, neurobiology, basics of biological imaging, electrophysiology, biolaboratory measurements) – 15 credits

Entrance examination topics:

Diploma rating:

  • At least 'good' (over 75%).

Language of tuition:

  • English


  • 7 December 2023, at 3 pm CET
  • 12 March 2024, at 3 pm CET

Our Virtual Open Days will give you the opportunity to learn about the following:

  • program structure and professional content,
  • tuition fees and scholarship opportunities,
  • application and selection process.

At the end of the session, you will have the chance to ask your specific questions.


  • Application fee: 8.000 HUF (approx. 20-22 EUR/USD)
  • Tuition fee: 975.000 HUF / semester 
  • Tuition fee waiver for EU citizens!*
* Special conditions and application deadlines apply. For more information, please contact: