Increased accuracy in disease analysis and diagnosis. Improved tracking of contaminated foods. The ability to map which genes are responsible for certain traits. Applied Bioinformatics is revolutionising modern biology and medicine – breaking down the barriers between data and knowledge – and now you could play a part in this too.
Our MSc in Applied Bioinformatics is delivered by bioinformatics experts and clinicians. Not only that, but we’re the largest provider of healthcare education in Europe. With such a high concentration of expertise in one place, you’ll get to hear about the latest research in the field and progress your career.
Our strength in this field provides a dynamic environment in which to study and thrive. We are also launching a King’s Hub for Applied Bioinformatics (HAB) which will facilitate connections across all of King’s computational groups and wet-lab groups. The Hub will have dedicated student space offering excellent networking opportunities.
Our MSc in Applied Bioinformatics starts with an Introductory module that is tailored to the needs and academic background of our students. Students can select either 'Fundamentals of Programming for Biologists' OR 'Principles of Molecular Biology for Computer Scientists'.
This Introductory module is followed by four modules covering advanced programming and cloud computing, fundamentals of statistics, omics techniques, data management and stewardship. Students will also take one optional module, choosing from AI and Machine Learning or System Biology.
Finally, students will apply their skills in an extended research project (6 months). They will be able to select their topic from a broad catalogue, reflecting the breadth of bioinformatics expertise within King’s.
Aims of the course are:
• Develop the skills you need to analyse, interpret, and integrate biological data
• Explore how to apply methods from information technology, maths, computer science and statistics to solve problems in biological science
• Understand how data and bioinformatic skills can be applied in both industry and academic settings – including gene therapy, cancer studies and drug discovery
• Gain transferable core skills such as data management, data wrangling, data visualisation and programming that can be applied to careers in data science across many different sectors
Course type:
Master's
Delivery mode:
In person
Study mode:
Full time
Duration:
One year full-time
Credit value:
180
Application status:
Open
Start date:
September 2026
Located near London Bridge, Guy’s Campus offers a dynamic yet focused environment, ideal for health and science students. Offering cutting-edge labs and a close-knit academic community, at the heart of one of London’s most vibrant and historic areas.
Our Waterloo campus is home to the Florence Nightingale Faculty Nursing & Midwifery, and a vibrant hub for health, social science, and law students. Located moments from the iconic landmarks of South Bank and just a short walk to the Stand campus.
