MSc Bioinformatics and Computational Genomics

Overview

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

Bioinformatics 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’.

You will be analysing clinical and ‘omics data in order to find complex patterns relating to patient response to treatments and prognosis. You will discover results that translate to the real world, through clinical trials or commercialisation. You will use your vision to find unique solutions to clinical and biological problems, and by the end of the degree you will be ready to work within a multidisciplinary team alongside bioinformaticians, biologists and clinicians from the Patrick G Johnston Centre for Cancer Research.

Bioinformatics And Computational Genomics Highlights

You'll be involved with the Patrick G Johnston Centre for Cancer Research, Welcome Wolfson Institute for Experimental Medicine and the Centre for Public Health, who work with partners around the world in developing treatments and pioneering advances in patient care. All Centres have an international reputation for successful dissemination and application of cutting edge research , knowledge transfer and the commercialisation of research ideas and innovations.

Career Prospects

The rapid production of 'omics' data within medicine and the life sciences has meant that individuals with health data science experience in this field are highly sought after. Recent graduates have gone on to work in industry in companies such as Almac Diagnostics, Liberty IT and Fios Genomics and some have gone onto further PHD level research.

A 2.1 Honours degree or equivalent qualification acceptable to the University in a Natural Science subject, Mathematics, Computer Science, or a relevant medical or life sciences subject (e.g. Genetics, Molecular Biology, Biomedical Sciences, Physics or Statistics).