Course summary
A new programme for 2025., designed for those who want to be at the cutting edge of one of the fastest growing fields in medicine. In a world where genomics is revolutionising our understanding of diseases, treatments, and personalised healthcare. The demand for skilled professionals who can bridge the gap between biological science and data-driven insights has never been greater. Bioinformatics integrates biology with computational and statistical techniques to analyse complex biological data, while genomic medicine applies genetic insights to advance healthcare and develop targeted treatments. This MSc will equip you with the essential knowledge and practical skills to be at the forefront of this transformation. Designed for both graduates and professionals from backgrounds in biology, medicine, or data science, this programme will provide you with expertise in data analysis, disease mechanisms, and translational genomics. You will gain key skills in computational biology, statistical modelling, and cutting-edge genomic technologies, empowering you to contribute meaningfully to the future of precision medicine. What you will learn Advanced understanding of genomics. Explore the fundamentals of genomic technologies, from DNA sequencing to gene editing, and their applications in precision medicine. Bioinformatics skills: Learn how to analyse big biological data, using computational techniques and algorithms to make data-driven decisions. Gain insights into the latest trends in molecular biology, genetics, and the clinical applications of genomics in medicine. Practical experience: Our hands-on approach ensures you develop real-world skills. Training in bioinformatics and advanced data analysis is an essential skill set for careers in biomedical research, healthcare, and industry. The MSc in Bioinformatics and Genomic Medicine equips students with the computational expertise and analytical techniques required to navigate the rapidly evolving fields of genomics and precision medicine, preparing them for roles in academia, clinical research, and the biotech sector. How you will learn Teaching is modern, innovative, dynamic, and hands-on, ensuring that you gain practical skills alongside theoretical knowledge. By bridging the gap between classroom learning and real-world application, this programme is designed to equip you with the expertise needed for success in academia, industry, and healthcare. The programme is delivered through a blend of: Lectures providing core theoretical foundations. Practical sessions for hands-on experience in data analysis and bioinformatics tools. Tutorials and seminars fostering discussion, collaboration, and problem-solving. Independent research project allowing you to apply your learning to a real-world genomics challenge. Teaching will take place on-campus two days per week, offering flexibility for self-directed study, research, and professional commitments. During the dissertation phase, you will receive dedicated research supervision, benefiting from expert guidance and mentorship tailored to your project needs, ensuring you develop independent research skills while receiving structured support from experienced faculty. Career Prospects The global demand for bioinformatics and genomic medicine professionals is rapidly growing as genomic data continues to reshape healthcare and medical practices. Whether you aim to work in research, clinical settings, or the biotechnology industry, this programme opens doors to a wide range of career opportunities such as: Bioinformatics analyst Genomics data scientist Clinical bioinformatician Genomic medicine specialist Research scientist in genetics or biomedical informatics When graduating you will be well-equipped to work in environments such as hospitals, private practice, specialist clinics, education, rehabilitation centres, or private sector business. This programme is also available as an MRes option.
Modules
Fundamentals of Genomics in Medicine / Introduction to Bioinformatics Tools and Programming Languages / Advanced Genomics and Omics Techniques / Computational Biology and Health Genomics / Machine Learning and AI in Healthcare / Genomics in Disease Mechanisms and Applications / Genomics, Epigenomics, and Bioinformatics of Cancer / Pharmacogenomics and Precision Medicine / Dissertation in the final stage.
Assessment method
The programme will be assessed through a combination of project work, assignments and group work.
Entry requirements
Minimum 2.2 degree in a subject aligned to health, biosciences, mathematics/data sciences. If you have a science, data or medical background and wish to advance your career, or looking at a career change this might be the course for you. This programme is also an opportunity for intercalated medical students.
Fees and funding
Tuition fees
England | £11200 | Whole course |
Northern Ireland | £11200 | Whole course |
Scotland | £11200 | Whole course |
Wales | £11200 | Whole course |
International | £22500 | Whole course |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
Aston University, Birmingham
Aston Triangle
Birmingham
B4 7ET