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

Immersive Learning Experience, Fostering Comprehensive and Marketable Expertise 

Discover the practical applications and research frontiers of info-bionics through real-world examples in areas such as prosthetics, rehabilitation, bionic glasses, brain-computer interfaces, neural electrodes, limb operation, wheelchair navigation, minimally invasive surgical tools, multimodal medical imaging, bioinformatics, and intelligent or sensor-operated robotics. This master's program not only imparts theoretical knowledge but also instills practical skills, preparing graduates for diverse opportunities in the dynamic landscape of info-bionics. 


  • Medical imaging 
  • Robotics, prostheses 
  • Brain-computer interfaces 
  • Neural electrodes 
  • Nano-biotechnology 
  • Bioinformatics 


Specializations offered within the program:  

  • Bionic Interfaces 
  • Bio-nano Sensors and Imaging Devices 
  • Neural Data Science 
  • Systems Biology 

The tailored specializations in the program equip our students for various realms of research, development, and innovative pursuits. Students are required to select one of the specializations upon enrolment in the Master’s program. 

  • Bionic Interfaces 

We focus on the tools necessary for human-machine interaction. Acquiring specialized knowledge is crucial for comprehending the diverse ways of connecting to the human body, transmitting control signals, and receiving sensory feedback. These capabilities open doors to revolutionary possibilities, such as replacing limb prosthetics, restoring lost sensory or motor functions, enhancing medical rehabilitation sensor robotic devices, refining performance measurement for athletes, and exploring innovative prospects in computer communication. 

  • Bio-nano Sensors and Imaging Devices 

Our focus centers on advancing medical multimodal imaging tools. Specialized knowledge is a prerequisite for understanding the operational principles of various sensing and intervention devices, as well as the intricate interaction between materials and photons (electromagnetic radiation). Armed with this understanding, we can craft sophisticated devices that progressively explore the inner workings of the human body, even at the molecular level. Mastery of these skills within this specialization unlocks practical, unique, and innovative opportunities, enriching both diagnostic and therapeutic possibilities in medical imaging with new functionalities. 

  • Neural Data Science 

Dive into the realm of datasets generated during neuroscientific research and their interpretation. Applied knowledge in neuroscience, data science, and machine learning is indispensable for making sense of the vast data produced in quantitative neuroscience research and utilizing it to develop diagnostic or therapeutic tools. Students opting for this specialization gain insights across the spectrum of quantitative neuroscience research, spanning tools, generated data, and data processing algorithms. Through the application of modern machine learning methods and tools, they acquire valuable knowledge and innovative possibilities, ushering in a new era in quantitative neuroscience research and development. This specialization is intricately connected with research laboratories and researchers from the Institute of Experimental Medicine (KOKI), the Research Centre for Natural Sciences (TTK), and the Hungarian Academy of Sciences (MTA). 

  • Systems Biology 

Immerse yourself in the modelling of interactions and system-level behaviours of biological systems. A profound understanding of molecular and cellular-level intricacies, coupled with skills in nonlinear dynamic systems, mathematical modelling, and parallel programming, is essential for successfully creating and interpreting model systems. These models encompass molecular reaction-kinetic networks, protein-protein interactions, cellular networks, and epidemiological modelling, addressing questions related to the operation, dynamics, and regulation of these networks. The ultimate goal is to develop predictive models that contribute to diagnostics and therapy, leveraging insights from quantitative medical research and enabling the development or enhancement of new products and services. 


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

  • Fundamentals in Natural Sciences and Mathematics (requirements for diploma: 15-25 credits) 
  • Economics and Humanities (requirements for diploma: 5-15 credits) 
  • Skills in Neural Sciences and Electrophysiology (requirements for diploma: 11-22 credits) 
  • Skills in Electronics and Computer Sciences (requirements for diploma: 11-30 credits) 
  • Specialization (requirements for diploma: 30-50 credits)  


  • Specialization in Bionic Interfaces 
  • Specialization in Bio-Nano Sensors and Imaging Devices 
  • Specialization in Neural Data Science 
  • Specialization in Systems Biology 
  • Project Work and Thesis Work (requirements for diploma: 42 credits) 
  • Other elective subjects (maximum 6 credits) 



 Language of tuition: 

  • English