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COURSE TITLE Master of Science in Biomedical Cybernetics









Second Cycle

Level 7

6 Semesters

Part-time (by Research)


Owen Falzon

This programme of study is also offered on a full-time basis. Please consult the Registrar’s website for more information pertaining to courses offered by the University.

The Master of Science in Biomedical Cybernetics is a cross-disciplinary degree programme, undertaken mainly by research, in the field of Biomedical Cybernetics. Here Biomedical Cybernetics refers to the classical definition of cybernetics as applied to biological and biomedical systems, that is, the technology-abstracted study of biological and biomedical systems and signals, and concepts such as the following, as applied to biological and biomedical systems and signals: systems theory, analysis, modelling, behaviour and control; data, signal and image acquisition, analysis and processing; study and extraction of information, pattern and intelligence; understanding of knowledge directed processes; decision-making processes; and the design and development of devices to achieve the above; and the application of digital technologies to medicine, healthcare and wellbeing.

The programme has a taught component that provides the required skills to the candidates and a research component that engages the candidate to apply their background and newly learnt skills to a specific research problem broadly related to the areas of medicine and biology.

While the Centre for Biomedical Cybernetics has a number of ongoing research themes such as in brain signal analysis, biomedical imaging, wearable health-care devices, patient rehabilitation, ambient assisted and independent living, MRI studies, gait and motion analysis, interested candidates are encouraged to approach the Centre to discuss their interests as related to biomedical cybernetics.

The programme of studies can be taken either on a full-time basis over a period of one calendar year or on a part-time basis over a period of three academic years.
LEARNING OUTCOMES Students successfully completing the Masters of Science in Biomedical Cybernetics should:

- Acquire an understanding about the related principles of cybernetics that relate to the research project, typically becoming familiar with the basic principles of signal analysis, image analysis, machine intelligence, system modelling and control theory, depending on the relative relevance of these topics to the student's research project, and/or to the principles related to the medicine and biology aspect of their project;

- Recognize research as a process of investigation, discovery, analysis, understanding and development of new knowledge, and identify and select the generic skills required to pursue research activities;

- Acquire methodological research skills, skills that allow the student to communicate and relate with technical counterparts and/or counterparts from medicine and biology, and skills to appreciate the implications of the technical choices on the data acquired;

- Develop skills to work in inter-disciplinary subject matter and relate with professionals from other disciplines.
CAREER OPPORTUNITIES AND ACCESS TO FURTHER STUDY The demand for clinicians, scientists and engineers having skills in cybernetic principles as applied to the broad areas of medicine and biology is bound to increase due to the growth in medical and biological data complexity and the various ways by which such medical and biological data would need to be processed and used. Successful students completing the Masters of Science in Biomedical Cybernetics would be either adding a strong technical component to their background in any area related to medicine and biology or, for the technical and engineering graduates, to obtain training that will enable them to apply their technical background specifically to problem in medicine and biology, an area which is becoming more and more dominated by technology, data acquisition and processing. Graduates from this course will also be eligible to follow doctoral studies in areas broadly related to biomedical cybernetics.
COURSE INTENDED FOR The Course is intended for candidates who are either graduates in, among others: medicine, health, psychology, cognitive science, neuroscience, or other sciences who are interested to learn how to apply specific technical skills to their domain; or graduates in engineering who are interested to learn to apply their technical skills to areas broadly related to medicine and biology.
The Course shall be open to applicants in possession of the following qualifications:

(a) a Bachelor of Engineering (Honours) degree with at least Second Class Honours or

(b) a Bachelor of Science (Honours) degree with at least Second Class Honours in appropriate subjects as approved by the Board or

(c) the degree of Doctor of Medicine and Surgery or

(d) the degree of Bachelor of Dental Surgery (with a classification of Second Class Honours or better if awarded from July 2009 onwards) or

(e) the degree of Master of Dental Surgery awarded from July 2018 onwards or

(f) a qualification deemed by Senate, on the recommendation of the Board, to be equivalent or higher to the qualifications listed in (a) to (e) above.

The admission requirements are applicable for courses commencing in October 2017.

For more detailed information pertaining to admission and progression requirements please refer to the bye-laws for the course available here.



Last Updated: 30 November 2017
The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints.
Units not attracting a sufficient number of registrations may be withdrawn without notice.
Unless for exceptional approved reasons, no changes to the programme of study for a particular academic year will be made once the students' registration period for that academic year begins.

For applicable fees please check the link on the Finance Office webpage.
Funding Award for BrainApp

CBC awarded research funding under the FUSION Technology Development Programme (TDP) 2017

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Three Papers Accepted for Presentation at the Annual Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017)

Research at UoM: Brain Computer Interface

Communicating using brain signals


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