Course summary
Develop specialist skills in a rapidly advancing medical field, with the flexibility to study as an MRes or MSc course option. This programme is designed for graduates and professionals from biology, medicine, or data science. You'lll develop expertise in data analysis, disease mechanisms, and translational genomics while building advanced skills in computational biology, statistical modelling, and emerging genomic technologies. These capabilities will prepare you to drive innovation and contribute to the future of precision medicine. Genomics is transforming the way we understand diseases, develop treatments, and deliver personalised healthcare. This has created an urgent need for professionals who can connect biological science with data-driven insights. Bioinformatics combines biology with computational and statistical methods to analyse complex datasets, while genomic medicine applies genetic discoveries to improve healthcare and create targeted therapies. This MSc provides the advanced knowledge and practical skills needed to thrive at the forefront of this medical transformation. 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.
- A strong foundation in bioinformatics and high-throughput data analysis is crucial for undertaking a PhD or progressing into research-intensive roles. The programme offers in-depth training, combining taught modules with an extended independent research project, providing students with the expertise needed to contribute to cutting-edge developments in genomic medicine and computational biology.
- Advanced knowledge of genomics, from DNA sequencing to gene editing, and their applications in precision medicine.
- Bioinformatics expertise - learn to analyse large-scale biological data using computational methods, algorithms, and statistical modelling.
- Insights into cutting-edge research, exploring the latest developments in molecular biology, genetics, and clinical applications of genomics.
- Practical, hands-on experience, developing real-world skills employers demand.
- Computational expertise and analytical techniques needed to thrive in the fast-evolving fields of genomics and precision medicine, preparing you for impactful roles in academia, clinical research, biotechnology, and the health sector.
Modules
Fundamentals of Genomics in Medicine: Explore the core principles of genomics and their applications in understanding human health and disease. | Introduction to Bioinformatics Tools and Programming Languages: Gain hands-on experience with bioinformatics software, algorithms, and programming techniques for genomic data analysis. | Advanced Genomics and Omics Techniques: Dive into cutting-edge multi-omics approaches, covering diverse biological data types to enhance integrative biomedical research. | Computational Biology and Health Genomics: Develop computational skills to analyse and interpret large-scale genomic datasets for clinical and research applications. | Machine Learning and AI in Healthcare: Learn how artificial intelligence and machine learning are transforming medical genomics, from disease prediction to personalised medicine. | Genomics in Disease Mechanisms and Applications: Understand the genetic basis of diseases and explore how genomics is applied in diagnostics and targeted therapies. | Genomics, Epigenomics, and Bioinformatics of Cancer: Investigate the genomic and epigenetic alterations driving cancer progression and how bioinformatics aids in precision oncology. | Pharmacogenomics and Precision Medicine: Discover how genetic variation influences drug response, paving the way for personalised treatment strategies. | Dissertation: Conduct an independent research project, applying bioinformatics and genomic medicine techniques to address real-world scientific challenges.
Assessment method
Programme assessment is 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 in the area of scientific research, this might be the course for you.
Fees and funding
Tuition fees
| England | £11200 | Whole course |
| Northern Ireland | £11200 | Whole course |
| Scotland | £11200 | Whole course |
| Wales | £11200 | Whole course |
| International | £24800 | 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