Programme details | |
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Degree: | Master of Science (MSc) |
Disciplines: |
Bioengineering & Biotechnology
Biomedicine |
Duration: | 24 months |
ECTS points: | 120 |
Study modes: | full-time |
University website: | Biomedical Engineering |
Annual tuition (EEA) | tuition-free |
Annual tuition (non-EEA) | ca. 99,100 HKD University currency: 140,000 SEK This applies to citizens of Hong Kong |
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With global life expectancy rising rapidly, healthcare systems urgently need to improve.
By bridging the gaps between the design and problem-solving skills of traditional engineering and the medical and biological sciences, biomedical engineering can play a vital role in that journey. And when combined with progress and developments in the field of IT, a new world of possibilities in how health care can be improved and delivered is emerging.
With a growing need for improvement in the quality of life, and global average life expectancy rapidly rising, there is an increasing demand for efficient healthcare systems.
Combining the design and problem-solving skills of engineering with medical and biological science, biomedical engineering improves healthcare delivery and medical practice by closing the gap between engineering and medicine. With advancements within IT, data science, and artificial intelligence, a new world of possibilities in how healthcare can be improved and delivered is evolving.
This master's programme in Biomedical Engineering is an internationally competitive education that aims to educate engineers who can work at the technological front and use modern biomedical technologies to meet a growing need in healthcare sectors and the biomedical engineering industry, but also in other industries that have elements of biomedical engineering technology. The education will give you a broad biomedical technology foundation with a certain focus on medical imaging, medical products and entrepreneurship and digital health.
A big emphasis in this programme is on artificial intelligence (AI), which is becoming an essential tool in healthcare and is one of the main drivers for new medical products and services. The quickly emerging technologies for processing large-scale data and machine learning are making automated decision-making in healthcare a reality.
The subjects of data science and AI, electronics, mechatronics and control, and signal processing are fundamental areas in the Biomedical engineeringmaster’s programme.The courses included in the programmeplan handle topics such as image analysis and computer vision, rehabilitation robotics, AI-based clinical decision support, and digital health.
The programme broadly connects science and technology with medicine and healthcare science. It is distinctive in that the education is based on cross-disciplinary collaboration between Chalmers, Sahlgrenska Academy at the University of Gothenburg, and Sahlgrenska University Hospital in Gothenburg. It provides a high clinical relevance through lectures and projects where students get the opportunity to interact with medical doctors and other healthcare professionals.
Besides technical and medical aspects, the programme will give you a great understanding of regulatory and ethical issues as well as health economics around biomedical engineering technology development.
The career possibilities for biomedical engineers are both bright and broad. Biomedical engineering is a globally growing future industry and the demand for biomedical engineers will only continually increase.
As a Master of Science (MSc) in biomedical engineering, you can work as a leading specialist and developer and be involved in developing new medical products and services in business or the public sector. You can also work as a product owner, meeting end users to discuss their requirements and wishes for products and systems. You can work as a consultant, where you, for example, help others with the testing and verification of medical products and services including software. You can work as a medical technical engineer in healthcare with risk assessment, deviation management, and training based on medical technology regulations. Skilled AI engineers are in high demand everywhere. With good knowledge and skills in machine learning, you will have a wide range of career opportunities.
The programme also qualifies you for postgraduate studies. If you are interested in a future in research and development, you have the possibility of completing an extended master’s thesis project of 60 ECTS credits within the programme.
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