This Masters programme consolidates core disciplines to address a rapidly increasing skill gap in the healthcare and biomedical research sector. AI is already revolutionising medical imaging, digital pathology, pharmaceutical research, and remote sensing and connected health. In the era of genomic medicine AI will transform the way we diagnose and treat diseases reducing the impact of the healthcare crisis in industrialised countries caused by cancer, obesity and diabetes. It combines teaching in data analytics, machine learning/AI, systems biology, precision medicine, health informatics and connected health.

 

The programme is divided into (i) introductory modules (eight mandatory modules and seven optional modules) leading to a graduate diploma (60 ECTS); and (ii) three advanced modules leading to a Master of Science, Medicine degree (90 ECTS). 

 

The introductory modules aim to familiarise students with the basic concepts of biology and medicine through examples and the analysis of relevant data sets. The advanced modules will focus on AI applications and include project work.

 

Modules on offer cover the following major themes of data analysis in biomedicine including:

• State-of-the-art methods in AI/Machine Learning and their applications to biological and medical data


• Programming and tools for AI


• Tools and methods for large scale data analytics


• Data visualisation


• Nature and structure of biological and medical data including those produced by omics and imaging methods


• Design of biological and medical research projects


• Ethical and privacy issues associated with the use of medical and biological data and analysis results