MScInfo-Bionics Engineering
| Study location | Hungary, Budapest |
|---|---|
| Type | Master, full degree studies |
| Nominal duration | 4 semesters |
| Study language | English |
| Awards | MSc (Info-Bionics Engineer) |
| Course code | Engineering Science |
| Entry qualification | Bachelor diploma (or higher) ENTRY REQUIREMENTS - BSc in Electrical Engineering, Engineering Informatics, Chemical Engineering, Biology, Chemistry, Pharmacy, Molecular Bionics, Biomedicine, etc. DETAILED ADMISSION REQUIREMENTS ENTRANCE EXAMINATION PROCEDURE Step 1: evaluation of preliminary studies, verification of documents Step 2: online written test Step 3: online interview with the applicants who obtain the best results in the online test Step 4: final score and admission result set by the Admissions Committee based on the application material, the online test and the personal interview Description of the admissions procedure The entry qualification documents are accepted in the following languages: English / Hungarian. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. You must take the original entry qualification documents along with you when you finally go to the university. Original BSc certificate, academic transcript of records, language exam certificate (with notarized English translation if not issued in English or Hungarian) |
|---|
| Territory requirements | Applications are accepted from the following territories (based on citizenship): Albania, Algeria, Angola, Argentina, Armenia, Azerbaijan, Bangladesh, Belarus, Belize, Bolivia, Bosnia & Herzegovina, Brazil, Burundi, Cambodia, Cape Verde, Chad, Chile, China, Colombia, Congo - Kinshasa, Costa Rica, Cuba, Dominican Republic, Ecuador, Egypt, El Salvador, Ethiopia, Georgia, Ghana, Honduras, India, Indonesia, Iran, Iraq, Japan, Jordan, Kazakhstan, Kenya, Kosovo, Kuwait, Kyrgyzstan, Laos, Lebanon, Liberia, Madagascar, Malaysia, Maldives, Marshall Islands, Mexico, Moldova, Mongolia, Montenegro, Morocco, Namibia, Nigeria, North Macedonia, Oman, Pakistan, Palestine, Panama, Peru, Philippines, Russia, Rwanda, Serbia, Seychelles, Sierra Leone, Singapore, South Africa, South Korea, Sri Lanka, St Lucia, Syria, São Tomé & Príncipe, Taiwan, Tajikistan, Tanzania, Thailand, Tunisia, Turkmenistan, Türkiye, Uganda, Ukraine, United Arab Emirates, Uruguay, Uzbekistan, Venezuela, Vietnam, Yemen. |
|---|
| Language requirements | English In order to successfully participate in the program, applicants must be proficient in English. Proof of English proficiency: Exemption: |
|---|
| Other requirements | At least 1 reference(s) should be provided. A motivation letter must be added to your application. Please specify the following in the motivation letter: - Why have you chosen Pázmány Péter Catholic University and this particular study program? |
|---|
| More information |
|---|
Overview
ONLINE OPEN DAY!
Our Online Open Day is organised for all who are interested in our study programs.
DATE:
Thu 5 December 2024, 3 pm CET (Central European Time)
Wed 8 January 2025, 3 pm CET (Central European Time)
REGISTRATION for the Online Open Day
Please visit the Faculty webpage for further details: itk.ppke.hu/en
For further info about the Online Open Day, contact us at international.office@itk.ppke.hu
See you soon!
PROGRAM DESCRIPTION
120 ECTS
Many of the innovative new products today come from the interdisciplinary field of info-bionics combining computer science, electrical engineering, and biotechnology (e.g.: sequencing tools, BCI, implants, sensory robotics).
Our Info-bionics Engineering Master’s Program aims to develop core competencies through subjects in modeling, neural sciences, electrophysiology, electronics, and computer science.
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 in the measurement, control, and operation of 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.
FOCUS AREAS
Medical imaging
Robotics, prosthesis
Brain-computer interfaces
Neural electrodes
Nano-biotechnology
Bioinformatics
SPECIALIZATION
The following specializations are built into the curriculum of the study programme:
- Bionic interfaces
- Bio-nano Sensors and Imaging Devices
- Systems Biology
- Neural Data Science
CONTACT
International Relations Office: international.office@itk.ppke.hu
Link to Info-Bionics Engineering Master’s program
Programme structure
Shape the future with your knowledge!
The program unfolds over a duration of 1+4 semesters (1 foundation semester + 4 semesters), providing a comprehensive and structured educational experience.
FOUNDATION SEMESTER
International students must attend a Foundation Semester in the fall semester, before starting the actual Master’s program. Thus, the actual commencement of the Master’s program 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 only start the four-semester Master’s program upon successful completion of the Foundation Semester.
CURRICULUM
The interdisciplinary field of info-bionics combines the fields of computer science, electronics and biotechnology. Our 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.
The curriculum of the Info-Bionics MSc study program (120 credits) includes 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)
- Project Work and Thesis Work (requirements for diploma: 42 credits)
- Other elective subjects (maximum 6 credits)
SPECIALIZATIONS
The specializations developed in the program prepare our students for the following areas of research and development and innovation activities:
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.
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.
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.
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.