Study Details: 1 Year Full-time
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 (including AI and machine learning) to biological and clinical scenarios. Algorithms and software tools are used to understand and interpret patient-derived ‘Big Data’
WHAT'S INVOLVED?
In this conversion course, you will be using data science tools to analyse clinical, omics and other 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. This is a challenging, cutting-edge, fast-paced course. 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
A 2.2 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). A medical (MB) or dental degree (BDS) is also considered.
Applicants must have completed (and passed at equivalent of UK 2:2 standard) a subject/module from any of the following groups:
1. genetics/genomics/molecular biology/biomedical science
2. chemistry/medicinal chemistry/biochemistry
3. mathematics/statistics-related subjects
4. computing/computer science/informatics
In addition to the above qualification requirements, all applicants will be required to pass an online aptitude test. If you are successful in the first stage of the application process, we will be in touch to organise this.
See our website for fees
Many of our students go on to pursue further PhD study in health data science at Queen’s and further afield. Others go on to work in a variety of roles in both the private and public sector industry here in Northern Ireland and internationally, including the following:
Bioinformatician, Belfast Health and Social Care Trust
Application Scientist, Dotmatics
Network and Security Engineer, Darktrace
Senior Data Scientist, Liberty IT
Graduate Trainee HPC, University of Bristol
Junior Bioinformatic Scientist, Almac Group
Bioinformatician, Fios Genomics Ltd
Biomedical Scientist and Junior Bioinformatician, Biokinetic Europe
Business/Data Analyst, Diaceutics
Bioinformatics Data Manager, Institute of Cancer Research
Bioinformatician Molecular Scientist, Randox
Associate Consultant, Microsoft
Health Technology Assessment Analyst, Health Information and Quality Authority Ireland
Health Data Science Black Internship, East Suffolk
North Essex NHS Foundation Trust
http://www.qub.ac.uk/directorates/sgc/careers
See our website for modules
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