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Connecting contemporary topics from biology and computer science, our online MSc in Bioinformatics will help you understand complex data sets and how to use them in cutting-edge health and life science research. This knowledge is crucial for the development of novel insights in biological, clinical and environmental science. These techniques have significantly benefited our understanding and treatment of diseases such as COVID-19.

Delivered by the multidisciplinary initiative, Centre for Computational Biology, the programme is uniquely placed to support those eager to get ahead in this fast-growing industry. That includes biologists and healthcare professionals interested in data analysis, as well as statisticians or computer scientists wishing to apply their skills in biology.

Based on the successful campus-based programme and ranked top-20 in the UK for both Biological and Computer Science,1 our unique online Masters in Bioinformatics will equip you with all the tools you need for a bright future in bioinformatics.

Curriculum: Discover more with data

Exploring a diverse range of subjects from scientific communication and health data analytics to applied metabolomics and advanced (omics) technologies, the curriculum is perfectly positioned to help health and life science professionals communicate more effectively with data.

Through mini-case studies and group projects, youll work through real-life examples, drawing on our connections with University Hospitals Birmingham and other industry partnerships. Collaborating with students from different backgrounds will enrich your experience further, helping you to make use of data in new and inventive ways.

The programme covers the essential topics related to bioinformatics, starting with introductory modules, followed by applied and advanced modules to gradually build your knowledge throughout this unique multidisciplinary programme.

Programme outcomes

Explore the ethical implications of research in biology-related fields

Develop an understanding of data types used in bioinformatics including clinical health data, genomic data, epigenetic data, and metabolic data

Gain an understanding of omics environmental science and toxicology computing, algorithmics and programming and the technologies underlying biology

Understand the statistical concepts and advanced machine learning techniques used in bioinformatics

Apply statistical and computational techniques underpinning advanced methodologies, and integrate diverse data types

Demonstrate self-direction and originality in tackling and solving problems

Communicate your findings in the most effective way

Career outlook

Between 2020 and 2027 the global bioinformatics market is expected to grow by 13.4% (compound annual growth rate),3 as bioinformatics and machine learning become key drivers for new clinical and biological services.

Led by active researchers in bioinformatics and linked to institutions such as University Hospitals Birmingham, the programme content is grounded in the real world. This helps you develop the practical skills you need to further your career in this cutting-edge field.

After graduating, a large proportion of students go on to study a PhD or undertake research for pharmaceutical companies, governmental institutions and medical publications.

Other potential roles for graduates include bioinformatician, bioinformatics analyst, pharmaceutical scientist, biostatistician, medical data scientist and medical AI architect.