This MSc has a focus on biomedical engineering fundamentals to healthcare practice, ranging from biomedical engineering, to embedded electronic systems, to machine learning. Using open-source tools for biosensing and neuroscience, you will work in a creative space with the aim of making brain-computer interfacing and other biosensors more accessible for rapid prototyping and quicker delivery of products in the consumer landscape.
On completion of this masters you'll have an advanced understanding of:
– how to analyse and formulate a wide range of biomedical problems using signal processing, embedded electronic systems, and machine learning.
– how to design, create and integrate software and hardware components of modern biomedical engineering systems and computer-controlled equipment
– the processes involved in constructing, analysing and solving biomedical problems into healthcare solutions
– the healthcare context in which engineering is practiced, as well as the effects of engineering projects on society
From time to time, we make changes to our courses to improve the student and learning experience. If we make a significant change to your chosen course, we’ll let you know as soon as possible.
Your future career
This specialised course provides a strong theoretical and practical understanding of biomedical electronic engineering with links to industry-related topics and employability skills.
Students on this course will have placement opportunities to gain real-world skills and experience that will enable you to connect knowledge to global health-related challenges.
Prospective career pathways include:
*Это примерная цена, проверьте ее в вузе
Предполагаемое начало: Сентябрь 2023
Royal Holloway, University of London
Egham,
Surrey,
TW20 0EX, England
Требования к IELTS могут отличаться в зависимости от выбранного курса
Исследовательский вуз мирового уровня Royal Holloway, University of London занимает 135 акров в живописном парке в Суррее.