Bioengineering

The University of Edinburgh
Postgraduate MSc (Res) Full-time 1 Year Computer science

About this course

The Institute for Bioengineering (IBioE) connects Engineering, Physical Sciences, Biology and Medicine, for innovative diagnostic and therapeutic biomedical devices and technologies.

Research themes include:

* Synthetic Biology - to design and construct (e.g. to ‘engineer’) biological devices and systems, often at cellular level. Applications range from therapeutic to environmental.

* Tissue Engineering - the production of 3D or 2D scaffolds or guidance cues for biological cells. Applications are largely therapeutic and also include new forms of lab-on-chip technology.

* Biomedical Modelling and Measurement - understanding biological materials through modelling and measurement for applications in, for example, prosthetics, prediction of failure in blood vessels and the behaviour of bone with ageing. We also study the behaviour of biological materials experimentally and in most cases, non-invasively (e.g. via Raman and CARS spectroscopy).

* Biomedical Devices and Sensors - working with colleagues in chemistry, we develop sensors on silicon for simple biological parameters (e.g. oxygen concentration) along with sensors of specific biomarkers of disease and therapy.

Study Options

This course is available in 2 study options:

Part-time

Duration: 2 Years

Qualification: MSc (Res)

Location: Edinburgh

Full-time Shown above

Duration: 1 Year

Qualification: MSc (Res)

Location: Edinburgh

Career Prospects

Graduates from this course typically go into the following occupations:

2134 Programmers and software development professionals
2139 Information technology professionals
3131 IT operations technicians
2141 Web design professionals
3132 IT user support technicians
2133 IT business analysts, architects and systems designers

Course Details

Qualification
MSc (Res)
Study Mode
Full-time
Duration
1 Year
Start Date
2025
Academic Year
2025
Campus / Location
Edinburgh
Scheme
Postgraduate
Subjects
Computer science