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. It involves the application and development of algorithms and software to understand and interpret ‘Big Data', which is driving medical research, discovery and practice.
You will be looking at clinical and omics data to find complex patterns, which relate to patient response to treatments and prognosis. You will discover results that translate to the real world, through commercialisation or clinical trials to tackle diseases. 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 (qub.ac.uk/ccrcb), the Centre for Experimental Medicine (qub.ac.uk/cem), and the Centre for Public Health (qub.ac.uk/cph). This is complemented by guest lectures from industrial and clinical collaborators.
'Big data' can provide the key to unlocking the cause and development of various diseases, such as cancer. It also offers the prospect of developing new drugs and therapies to prevent and treat conditions and diseases.
The partnership with the National Cancer Institute (NCI) and the School of Medicine, Dentistry & Biomedical Sciences provides an opportunity to study in the USA. This 4-year Doctoral Training Programme (DTP) provides students with the opportunity to undertake a postgraduate taught programme in Year 1 at QUB, followed by a PhD at NCI in Years 2-4.
Internationally Renowned Experts
You'll be involved with our Centre for Cancer Research and Cell Biology, who works with partners around the world in developing cancer treatments and pioneering advances in patient care. The Centre has an international reputation for successful dissemination and application of cutting edge research, knowledge transfer and the commercialisation of research ideas and innovations.
Our course has been designed to equip the next generation of bioinformatics graduates with the skills and knowledge to tackle the major challenge in medical research: how to translate ‘big data’ analysis into personalised treatments for patients.
Darragh McArt, Lecturer in Translational Bioinformatics
Learning and Teaching
We provide a range of learning experiences which enable our students to engage with subject experts, develop attributes and perspectives that will equip them for life and work in an advanced society making use of innovative technologies.
Across a combination of morning and afternoon classes, examples of the opportunities provided for learning on this course are lectures, practical experiences learning technologies and self-directed study to enhance employability.
Assessments associated with the course are outlined below:
Assessment for the modules will be based on 100% coursework/in-class tests/dissertation.
Students who pass all of the taught modules but who fail to achieve a mark of at least 50 per cent in the dissertation are eligible for the award of a PG Diploma.
Students who pass 60 CATS of modules are eligible for the award of PG Certificate.