Biomedical Engineering (WFTiMS)

Field of study:

Level of studies:

Mode of study:

Date of commencement of studies:

Faculty:

Level of qualification according to the European and national qualifications frameworks:

Professional title obtained by the graduate:

Learning profile:

Number of semesters:

3

Number of ECTS credits:

• 42 - Field of study: Biomedical Engineering
• 91 - Specialization: Artificial Intelligence
• 91 - Specialization: Medical Physics
• 90 - Specialization: Electronics in Medicine
• 90 - Specialization: Chemistry in Medicine

Work placement:

The expected format is an optional long-term research-industrial internship lasting at least 26 weeks. The internship is conducted based on the Regulations for the long-term research-industrial internship.

Graduation requirements:

1. Obtaining the learning outcomes specified in the study program and the required number of ECTS points,
2. prepare a master's thesis and obtain positive assessments from the supervisor and reviewer for this work,
3. pass the master's diploma examination on the date set by the dean.

Graduate profile and further learning opportunities:

The graduate is prepared to carry out advanced engineering, research and development work and implementations in biomedical engineering, in particular in the field of specialties related to chemistry in medicine, electronics in medicine, medical physics, medical informatics and artificial intelligence. Has knowledge and developed skills for operation, design and research in the field of new technical systems for medicine, diagnostics, monitoring, rehabilitation and therapy planning. In terms of specialization, he has knowledge and skills that allow him to:

- design, preparation and use of modern functional materials in biomedical solutions

- design and construction of intelligent sensors, devices and Internet of Things (IoT) technology solutions

- design and analysis of radiation shields for the needs of radiodiagnostics and radiotherapy laboratories

- design and analysis of new algorithms in the field of artificial intelligence, intelligent software, machine learning models, mobile and internet applications and human-system interaction systems.

The study system develops and consolidates creativity, the need and ability for continuous self-education and responsibility. The acquired knowledge will enable: solving design, organizational, experimental and research tasks, using simulation methods, planning and mathematical development of experiment results, computer software for design or engineering parts and research work. The learning content highlights important ICT application areas promoted by the EU in the areas of health, well-being and supporting an aging society. The acquired technical and economic knowledge will enable you to manage employee teams and production plants. Has a good knowledge of at least one foreign language, allowing for free use of foreign literature. Can work effectively in research and development teams.

Person responsible for the study programme: