Medical Electronics & Digital Health

Indicative Programme Learning Outcomes



At the end of this program, students will be able to:



(1) Develop critical thinking skills problem-solving skills appropriate to electronic/computer-based medical device design.



(2) Design and develop signal processing algorithms for the analysis of a range of bioelectronic signals, e.g. ECG, EEG.



(3) Select appropriate machine learning strategies for applications in digital health and develop diagnostic support systems for such applications.



(4) Design electronic circuits for a range of sensing applications in medical applications.



(5) Develop a range of transferable skills, including e.g. project management, research methods, and innovation and entrepreneurship.



(6) Apply domain-relevant design standards for the design of electronic systems for medical applications.



The MSc in Medical Electronics & Digital Health is a 90 ECTS (Credits) programme, which includes a taught component of 60 ECTS (delivered in Autumn and Spring Semesters), with a Research Thesis of 30 ECTS, on a state-of-the-art topic in medical electronics/digital health technology undertaken over the entire year of the programme.



All students must complete the Research Thesis component. Students also choose from a number of advanced discipline-specific technology modules covering topics such as: signal and image processing, embedded systems and Internet of Things design, communications technologies, electronic circuit design, sensor systems, and artificial intelligence. Students must select modules with a combined credit weighting of 45-50 ECTS.



A range of Engineering “Transferable Skills” modules enable students to develop skills in business, innovation, regulatory and research methods, while also providing options for training in advanced mathematical techniques and information technology. These modules will prepare students for lifelong learning and development in a professional engineering career, either in industry or in a research environment. Students must choose 10-15 ECTS of modules from the Transferable Skills category.

Indicative list of discipline-specific modules (note: The specific range of modules from which students may choose may vary from year to year, depending on module availability, and student demand):



Bioinstrumentation Design I

Bioinstrumentation Design II

Mobile Device Technologies

UX Design for Wearable Electronics

Smart Devices for Connected Health

Internet of Things Systems Design

Digital Signal Processing

Machine Learning

Embedded Image Processing

Embedded Computer Vision

Signal Processing and Machine Learning for Digital Health

Machine Learning and Artificial Intelligence for Engineering Applications

Applied Circuit Design for Medical Electronics

Introduction to BioStatistics

RF Technologies in Medical Devices

Computer Security & Forensic Computing

Mobile Networks: Architecture and Services





Indicative List of Transferable Skills modules:



Financial management

Technology, Innovation and Entrepreneurship

Research Methods for Engineers

Lean Systems

Project Management

Safety Engineering

Introduction to Sustainability

Application to the programme is open to individuals who have Second Class Honours, Grade 1 (H2.1) or equivalent in a Level 8 BE, BSc or equivalent degree in Electrical/Electronic/Computer Engineering, or Computer Science, from a recognised university or third-level college. Applications from those holding a primary degree in a cognate discipline (e.g. biomedical engineering with a substantial electrical engineering content) will be assessed on a case-by-case basis. Factors taken into account in determining admission will include the specific content of the undergraduate degree, the applicant’s performance, post-graduate industrial experience, and the availability of places.

Applications must be completed online at: https://nuigalway.elluciancrmrecruit.com/Apply/Account/Login.



An application requires a registration fee of €35. You will be asked to upload proof of identification, academic transcripts, a personal statement, an academic reference and documentation to fulfil the English requirement (where English is not your first language).

1 year full-time.

Next start date September 2025

Career Opportunities

With the increasing need for “intelligence” in medical devices, including developments in implantable and wearable devices, there is a growing demand for professionals who can design, implement, and manage these systems. The programme syllabus has been developed with input from the medical device industry (which is highly concentrated in the Galway region), which has emphasised the need for graduates with strong electronic and computer engineering skills, as well as relevant knowledge of how these skills can be applied in medical device development. The programme will allow students to explore cutting-edge technologies, including artificial intelligence and machine learning, communications systems, and sensor technologies, and learn how these are contributing to advancements in healthcare practices. The course offers many career opportunities in a range of high-tech industries, in both multi-national and small/medium sized companies. While you will exit the programme with skills that are applicable in many areas, the programme aims to give you a “fast track” to a career in the medical device industry, where you will contribute electrical, electronic and computer engineering design skills in the design of future generations of medical devices.