The aim of the programme is to provide a solid awareness of the key concepts of artificial intelligence, to develop a critical understanding
of the state-of-the-art in this area, and to develop the practical skills necessary to create value in its applications to business, scientific
and social domains. The programme offers a wide range of study areas that cover data analysis, various intelligent techniques, machine
learning, deep learning, data visualisation, and ethics and governance.
In addition, the students will have the opportunity to develop a broader set of skills including study skills, research skills, employment
skills and capability skills through teamwork (e.g. group projects), guest lectures or workshops from industry, and dissertation projects
with industrial collaborations.
A 2:2 (or above) UK Honours degree, or equivalent internationally-recognised qualification in a subject such as health promotion, public health, allied health, health-related studies, social sciences, biosciences, sport science, and environmental health. Non-native speakers of English need either of the following:
Use these links to view the full rankings (Opens in a new window)
ARTU Ranking (Out of 45 UK universities included in their table)
QS World University Rankings- QS Quacquarelli Symonds rankings data– (CC BY-NC-ND 4.0)
