Bioinformatics

This bioinformatics Masters bridges the interfaces between genomics, computing and healthcare and aims to equip you with the skills to analyse, interpret and use biological data to inform and improve healthcare and health outcomes.

You will consider biological data generated by technologies such as genome and next-generation sequencing and microarray expression technology. You will also learn how the results of analysis can be applied to improve health outcomes.

Throughout your studies you will be encouraged to reflect on the ethical, legal and social implications of using genomics data.

We welcome students and professionals from a range of academic and work backgrounds, including:

- biomedical sciences

- forensic science

- nursing

- public health

- psychology

- healthcare science

- pharmaceutical.

The course covers core principles, as well as statistical, computing and knowledge management skills. In addition, it will equip you with the technical ability you need to analyse genetics and genomics data and the underlying health associations between gene variants, disease susceptibility and drug response.

In the Bioinformatics and Advanced Bioinformatics modules you will work in interdisciplinary teams as much as possible. Together, and individually, you will:

- undertake core practice in sequence and structure analysis techniques and provide you with a strong foundation in omics and NGS analysis. R, Python, Linux, and the user-friendly Chipster software provided by ELIXIR-Finland at CSC are used in the NGS exercises

- problem-solve in real healthcare or industry scenarios using bioinformatics and computational analysis

- learn research design and methodologies in bioinformatics

- apply your understanding of genetic variation to disease modelling

- develop an analysis strategy for a new service that builds on your knowledge of genomics, bioinformatics and programming

- apply the relevant statistical and analytical methods to generate new information.

You will learn from experts in computing, healthcare, mathematics and statistics, whose current practice and research will enhance your postgraduate experience.