Bioinformatics and Computational Genomics

The past decade has seen enormous advances in molecular and biomedical technology resulting in an ‘omics’ revolution.

Bioinformatics (health data science) covers the application of mathematics, statistics and computing to biological and clinical scenarios. Algorithms and software tools are used to understand and interpret patient-derived ‘Big Data’

WHAT'S INVOLVED?

You will be using data science tools to analyse clinical and ‘omics data in order to find complex patterns relating to patient response to treatments and prognosis. You will discover results that have the potential to translate to the real world, through clinical trials or commercialisation. Using the skills and tools developed in the course you will derive unique solutions to clinical and biological problems. By the end of the degree you will be ready to work within a multidisciplinary team alongside bioinformaticians, biologists and clinicians.

You will be taught by active researchers from the Patrick G Johnston Centre for Cancer Research http://www.qub.ac.uk/research-centres/cancer-research/, the Welcome Wolfson Institute for Experimental Medicine (http://www.qub.ac.uk/research-centres/wwiem/), and the Centre for Public Health (http://www.qub.ac.uk/research-centres/CentreforPublicHealth/).

This is complemented by guest lectures from industrial and clinical collaborators.