Info-bionics Engineering MSc

In the Bionic Interfaces specialization, we focus on the tools necessary for human-machine interaction. Specialized knowledge is essential to understand how to connect to the human body in various ways, transmit control signals from there, or feedback sensory information. These capabilities offer opportunities to replace limb prosthetics or restore lost sensory or motor functions. The acquired knowledge provides valuable insights for medical rehabilitation sensor robotic devices, improvement in performance measurement for athletes, and the exploration of new and innovative possibilities related to computer communication.

We focus on new medical multimodal imaging tools in the Bio-nano Sensors and Imaging Devices specialization. Specialized knowledge is necessary to understand the operational principles of various sensing and intervention devices and the interaction between material and photons (electromagnetic radiation). With this understanding, we can create complex devices that allow us to delve progressively and less invasively into the functioning of our body, even at the molecular level. By further developing such tools, both diagnostic and therapeutic possibilities in medical imaging can be enriched with new functionalities. Mastering these skills within the specialization offers valuable knowledge, encompassing practical, unique, and innovative opportunities.

In the Neural Data Science specialization, we focus on datasets generated during neuroscientific research and their interpretation. Applied knowledge in neuroscience, data science, and machine learning is necessary to interpret the vast amount of data generated in quantitative neuroscience research and to apply it in developing diagnostic or therapeutic tools. Students choosing this specialization can gain insight into the broad spectrum of quantitative neuroscience research, both in terms of tools and the generated data and data processing algorithms. By applying modern machine learning methods and tools, they can acquire useful knowledge and innovative possibilities, becoming part of a new era in quantitative neuroscience research and development. The specialization is taught in close collaboration 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).

The Systems Biology specialization focuses on modelling the interactions and system-level behaviours of biological systems. Thorough molecular and cellular-level knowledge, skills in nonlinear dynamic systems, mathematical modelling, and appropriate parallel programming skills are necessary to create and interpret model systems successfully. The models encompass molecular reaction-kinetic networks, protein-protein interactions, cellular networks, and epidemiological modelling. The specialization covers questions related to the operation, dynamics, and regulation of these networks. The goal is to create predictive models that can be used in diagnostics and therapy based on results from quantitative medical research, enabling the development or enhancement of new products and services.