Bioinformaticians are needed now more than ever
Bioinformatics provides an important bridge between cutting edge science and the delivery of genomic medicine in clinical practice.
Gain the necessary skills to produce high-quality bioinformatic workflows to analyse and interpret clinical genomic data, in addition to a critical understanding of data generation with our fully online, part-time Postgraduate Certificate.
Guaranteed quality – Taught by a team that has successfully delivered the Clinical Bioinformatics Scientist Training Programme for the UK’s National Health Service.
Flexible learning – Study this course online and tailor your learning around your work and other commitments.
Real-world challenges – Includes real-world clinical case studies and will focus on providing the necessary bioinformatic skills to produce bioinformatics workflows to analyse clinical genomic data.
We require an honours degree (minimum Upper Second) or overseas equivalent :
with sufficient evidence of the relevant units taken. We may also consider exceptional applicants with a Lower Second if you have research experience or equivalent professional experience.
PG Cert: £5,000
Many of our students studying related programmes have continued to pursue careers in clinical laboratories, clinical research and also pursued academic research careers and industry-focused careers.
Our 100% online, flexible, clinically-focused course is at the cutting edge of science where you can develop your knowledge and skills in clinical bioinformatics and grow your global network.
Using real-life clinical cases, you’ll be taught by an experienced team that has successfully delivered the Clinical Bioinformatics master’s programme, with several years’ experience educating clinical bioinformaticians training in the NHS.
Our educational ethos at Manchester is dynamic and has centred on co-creation of education with our students and clinical experts, meaning our programmes meet the requirements of clinical bioinformatics and genomic medicine.
Introduction to Clinical Bioinformatics
Introduction to Health Informatics (15 credits)
Introduction to Programming (15 credits)
Introduction to Next-Generation Sequencing (15 credits)
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