Queen's University Belfast

Bioinformatics and Computational Genomics MSc

Queen's University BelfastBelfast, United Kingdom

Course overview

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 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. Intercalated Medical and Dental Students Completing an intercalated degree will boost your CV when applying for postgraduate training. Depending on the discipline, selection panels look for completion of an additional degree, or for publications or posters.

An intercalated degree gives you the opportunity to improve your chances of future success. Applicants are advised to apply as early as possible and ideally no later than 31st July 2026 for courses which commence in late September. In the event that any programme receives a high number of applications, the University reserves the right to close the application portal.

Notifications to this effect will appear on the Applicant Management System against the programme application page. Aptitude Test There will be monthly online Aptitude tests from October 2025 as part of the application process. Please note a deposit will be required to guarantee a place on the course.

Due to high demand, applications may not be considered if the course has reached its maximum class size and will be placed on a waiting list. Please see deposit terms and conditions for more details.

Key highlights

  • Conversion course applying data science, AI and machine learning to biology
  • Analyse clinical and omics data to predict treatment response and prognosis
  • Taught by active researchers from cancer, medicine and public health centres
  • Guest lectures from industrial and clinical collaborators
  • Prepares you to work in multidisciplinary teams with biologists and clinicians
  • Available as an intercalated degree for medical and dental students

Entry requirements

  • Degree: 2:2 — 2.2

Scholarships

  • International Postgraduate Taught Scholarship

    Year one award of between £2000 and £5000.

    Up to £2,000
  • The Burdett Trust MSc Nursing Scholarships

    For Home Students: Tuition fees £7,665 Stipend £10,250. For International Students: Tuition fees £24,295 Stipend £17,000

  • Vice Chancellor’s International Attainment Scholarship - Postgraduate Taught

    Value: 50% of tuition fees paid for up to a maximum of two years.

    Up to 50% of fees

Careers this course leads to

  • Bioinformatician
  • Computational biologist
  • Health data scientist
  • Genomics data analyst
  • Clinical bioinformatics scientist
  • Research scientist

Cost of study

UK/Home: £9,200 (NI/ROI), £10,400 (GB) | International: £23,000

Admission

Applications are made through AHZ at no cost. Share your transcripts, English test scores and personal statement, and your AHZ Counsellor will review your profile, submit your application to Queen's University Belfast, and guide you through interview, offer, CAS and visa — right up to enrolment.

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