Biomedical Engineering
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DepartmentFaculty of Mechanics
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Program code6211EX032
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Field of studyEngineering
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QualificationMaster of Engineering Sciences
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Duration2
This programme offers hybrid (synchronous) master’s studies – classes are conducted on-campus and simultaneously streamed online. Exams are held at VILNIUS TECH premises.
Fun fact
Modern medicine increasingly relies on advanced technologies. Artificial heart valves and pacemakers address mechanical heart disorders, MRI scans enable precise assessment of internal organs, and AI-based algorithms assist in recognising physiological patterns in biosignals and supporting clinical decisions.
Modern human motion analysis relies on virtual musculoskeletal models that integrate biomechanical and biosignal data to evaluate and visualise body movements and internal forces. Applying these cutting-edge systems in healthcare and research requires a solid foundation in biomedical engineering – a field that connects engineering, biology, and medicine to advance human well-being.
About
https://youtube.com/watch?v=q4pgX_4rfB0%3Fsi%3D6PxC1J5xjlXXiQaq
The programme trains specialists capable of solving health-related problems using advanced diagnostic, therapeutic, and preventive technologies. The goal of biomedical engineering is to enhance healthcare services through technological innovation—by improving existing clinical methods and developing new medical devices and systems.
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What will I be able to do?
Upon completion of the programme, graduates will be able to:
• Operate, improve, and conduct experiments with scientific and medical research equipment
• Collect, systematise, process, analyse, and evaluate data for scientific, professional, and innovative purposes
• Model and study biomechanical and biomedical systems using modern information technologies
• Design devices for rehabilitation, medical centres, and environments adapted for people with disabilities
• Identify and solve complex engineering problems in biomedical contexts
• Conduct scientific research and experimental development
• Assess the operational efficiency and performance trends of medical equipment. -
What are my career opportunities?
Graduates of the programme can pursue careers in:
• Academic and research institutions or scientific research centres
• Healthcare institutions, rehabilitation facilities, and clinical laboratories
• Companies engaged in medical technology research, design, and manufacturing
• Doctoral studies in related fields.
Study subjects
1 Semester
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MEBIM21063 9 credits
Dynamics of Biomechanical Systems
Module aim
To introduce the principles of modeling and dynamic analysis of biomechanical systems and to provide skills to apply them in movement research, as well as to be able to process the results and interpret them based on the acquired knowledge.
Module description
Dynamics of biomechanical systems is an interdisciplinary course, the subject of which is human movement and its interrelationship with environmental objects and factors. Classical mechanics, mathematics, biomechanics and modeling knowledge are combined and applied to the analysis and research of human movement as a system. It is learned to carry out kinematic and dynamic analysis of movement using numerical methods, as well as to critically evaluate the obtained results and interpret them.
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MEBIM21064 9 credits
Medical Waste Management
Module aim
To introduce the concepts of medical waste, research areas, impact on health and the environment, as well as safe medical waste treatment methods and disposal technologies. Ability to analyze and interpret medical waste situations is provided, as well as to create specific waste management algorithms by selecting the most effective measures.
Module description
Medical waste can pose a danger to both humans and the environment. Therefore, it is important to know the threats and the legal possibilities of protection against them, and to apply them in all activities related to medical waste. Solutions dictated by WHO and long-term waste management practices are implemented in real situations using the latest medical waste treatment methods and utilization technologies. The latest scientific research and the impact of modern technological solutions on waste reduction and environmental security strategies are discussed. Medical waste management algorithms are analyzed and situational analysis is performed.
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TIMGM17165 6 credits
The Use of the Finite Elements Method in Continuum Mechanics
Module aim
To provide the profound knowledge about the theory of finite elements methods, types of finite elements and to develop skills to comprehend physical processes, their mathematical expression and to choose the appropriate methods and algorithms of solution. Additionally, to introduce the fundamental concepts of finite element modeling and enable the students to use a general-purpose finite element analysis software (ANSYS and SOLIDWORKS), to solve mechanical and biomechanical engineering problems.
Module description
The finite element method (FEM) is indispensable in modelling and simulation in various engineering and physical systems, including structural analysis, stress, strain, fluid mechanics, heat transfer, dynamics, eigenproblems, design optimization, sound propagation, electromagnetics, and coupled field problems. Types of finite elements, approximation functions and their characteristics, variational calculation, functional extremum is under a course learning. Course include main derivation methods of FEM equations; methods of introducing boundary conditions; methods of solving linear and non-linear systems of algebraic equations of high order and integrating the systems of differential equations. Solving the main mechanical problems by FEM: elasticity problems; non-stationary problems of elastic and viscous materials, problems of the stability of structures; thermal analyses problems; problems of hydrodynamics; electrodynamical problems and frequency problems is analysis by standard finite elements.
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MEBIM17065 3 credits
Master Graduation Thesis 1
Module aim
Introduce to the object of scientific research work, to make analytical review of literature sources, to prepare research methodology.
Module description
Self-dependent work – critical – analytical survey or partial patent search of the chosen or referred thematic using accessible technical – scientific information sources (monographs, journal articles, patents stock). Inroduction of research work’s object and research methodology.
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MEMKM17341 3 credits
Fundamentals of Research and Innovation
Module aim
The course aims to provide students with knowledge of research methodology and techniques as well as abilities to make research and to predict how the research results could be used for innovation creation and implementation industry by solving engineering and managerial problems.
Module description
The module is about the methodological bases of science and innovations. The basic concept, structure and objectives of research. The qualitative and quantitative research methods. The planning stages, planning validity, reliability and ethics of research. The main strategies of research. Theoretical and empirical research methods. The importance of innovation and modern business trends. Innovation concept and classification. Regional innovation clusters, government policies for innovation. The role of creativity in innovation, creative process.
2 Semester
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MEBIM17066 9 credits
Acquisition and Analysis of Biosignals
Module aim
To introduce the variety of biosignals, methods of measurement, research, and processing, and to learn to apply the acquired knowledge by experimenting and analyzing the presented situations, as well as to be able to critically evaluate the obtained results and to interpret them.
Module description
Biosignals are important transmitters of information about a biosystem or its parts. Their diversity and nature define the characteristics of measurement systems and processing methods, as well as the limits of application. In this course, you learn to identify biosignals, measure them, process them and interpret the obtained results. It is learned to critically assess and analyze the information of bioelectrical signals and the possibilities of practical application.
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MEBIM17067 6 credits
Biofluid Mechanics
Module aim
To introduce the concepts of biofluids, their properties and differences from other fluids.
Module description
The course is dedicated to familiarizing with the features of biofluids, investigating their differences from other fluids, and analyzing biofluid statics and dynamics. During this course, the blood flow is analyzed and modeled. A great attention is paid to the phenomena of the blood flow in the pathological blood vessels.
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MEBIM17070 6 credits
Methods of Biotechnical Systems and Medical Diagnostic
Module aim
To introduce students to the regulation of medical devices in the EU, to provide an understanding of quality assurance, reliability and risk management of medical devices, to ensure that students know and can apply statistical methods in diagnostics, to provide knowledge about new medical diagnostic methods.
Module description
The subject is designed to introduce students to the regulation of medical devices in the EU, to provide an understanding of the life cycle of medical products, biocompatibility testing, in silico trials of medical devices, reliability and risk management methods of medical devices, quality assurance, to introduce the ability to independently analyze statistical methods of diagnostic theory and new medical diagnostics method.
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MEBIM17069 6 credits
Information Systems in Medicine
Module aim
Aims to equip students with an understanding of healthcare information systems, their applications, and the technologies shaping modern healthcare delivery
Module description
The course introduces the fundamentals of hospital information systems, emphasizing their functionalities and pivotal roles within healthcare institutions. It explores the integration of computer networks in healthcare settings, focusing on infrastructure standards and electronic health fundamentals. Moreover, the course covers the implementation and management of electronic patient records, collection, and processing of clinical data via application of AI-based algorithms, and modern technologies shaping healthcare information systems. Students must attend at least 60% of the time scheduled exercises.
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MEBIM17068 3 credits
Master Graduation Thesis 2
Module aim
Selection and modeling of experimental equipment for particular object.
Module description
Working out of the critical survey according the master’s thesis thematic, or, if it was done before its specification and replenishment. Preparations of the program and methodic for performing final work. Preliminary solutions of experimental research of statistical data partial collection according the master’s thesis thematic. Choice, projecting, modeling of particular research object’s experimental equipment. The collect material for scientific presentation.
3 Semester
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MEBIM17073 9 credits
Engineering systems of medical facilities (with Course Project)
Module aim
To introduce students about the installation of operating rooms and other medical systems, the requirements for ventilation and air conditioning, medical gas supply systems, to provide an understanding about X-ray rooms, nuclear medicine, radiation therapy premises protection against ionizing radiation, to ensure that students know and can apply the methodologies for calculating the protective elements.
Module description
The subject is intended to introduce students to the requirements for medical facilities, to provide understanding of operating rooms and their equipment, ventilation and air conditioning, heating, lighting requirements, resuscitation and intensive care unit equipment, uninterruptible power supply and other important engineering systems, to introduce the ability to independently analyze X-ray, nuclear medicine, radiation therapy rooms design, installation and protection against ionizing radiation problems.
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MEBIM17075 9 credits
Rehabilitation Engineering
Module aim
To provide knowledge about latest rehabilitation methods and technologies applied to enhance motor, sensory, and cognitive deficits. To introduce the biomechanical modeling of human musculoskeletal system and its application in rehabilitation. To develop the ability to search for scientific information, analyze it and solve practical problems.
Module description
This course provides an in-depth understanding of the principles, theories, and practices of rehabilitation engineering. Rehabilitation engineering involves the application of engineering principles and technology to improve the quality of life and functional abilities of individuals with disabilities. The course covers topics such as assistive technology, human-machine interfaces, accessibility, and design for rehabilitation. Students will gain hands-on experience with analyzing scientific research related to rehabilitation engineering and technologies, as well as developing solutions to real-world problems faced by individuals with disabilities.
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MEBIM17072 6 credits
Tissue Engineering and Regenerative Medicine
Module aim
Provide background on stem cell characteristics, scaffolds production, tissue and organ engineering.
Module description
Tissue engineering and regenerative medicine course introduces into regenerative medicine technics already applied in the clinical practice as well as with scientific and clinical research in the areas of cell therapy, tissue and organ engineering. Stem cell characteristics, sources and applications, scaffolds materials and production technologies and the challenges of creating tissues and organs are analyzed.
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MEBIM17074 3 credits
Master Graduation Thesis 3
Module aim
To make experimental and analytical research, to generalize collected.
Module description
Working out the experimental or analytical research according previously made theses thematic. Received data processing, results analysis and filing, formulating conclusions and working out the report on carried out research work. Presentations of scientific article.
4 Semester
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MEBIM17076 30 credits
Master Graduation Thesis
Module aim
To make analytical and experimental research, to summarize results, to present a report of the research work.
Module description
Generalization of the scientific research work carried out during studies. Analyzing master’s thesis research object parameters. Literature sources survey. Preparing the object characteristic research strategy. Performance of analytical and experimental research. Comparison of mathematical model and experimental research results. Generalization of obtained results. Conclusions formation and presentation, preparation of presentation.
Statistics
| Metric | Value |
|---|---|
| Enrolled students | 6 |
| Enrolled to FT | 6 |
| Min FT grade | 9.1 |