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Course overview

Modern high-throughput technologies such as genome sequencing, next-generation sequencing and microarray expression technology are generating vast amounts of biological data. Our course is unique in giving you the skills and strategies to bridge the gap between computing and healthcare in genomics and bioinformatics.

You’ll learn about the use, analysis, interpretation and dissemination of genetics and genomics data, taking account of the ethico-legal, social and healthcare impacts. Statistics, computing and knowledge management will also be covered, along with underlying health issues and associations between gene variants, disease susceptibility and drug response.

We welcome students and professionals from a range of academic and employment backgrounds, including biomedical sciences, nursing, midwifery, medicine, psychology, public health, pharmaceutical and forensic science.

Why choose this course?

The course provides flexible full-time or part-time learning opportunities to develop your career in Bioinformatics. In the context of ethico-legal, social impact and healthcare the MSc in Bioinformatics course is designed to expose you to the skills, strategies, uses, analysis, interpretation, dissemination of genomics data.

The course covers principles, statistical, computing, knowledge management, skills and the technical know-how for analysing genetics and genomics data, and the underlying health and associations between gene variants, disease susceptibility and drug response.

This course provides you with the practical knowledge and skills to bridge the computo-healthcare interface in the context of genomics and bioinformatics.

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

  • biomedical sciences
  • computing
  • nursing
  • psychology
  • public health
  • pharmaceutical
  • forensic science.

This course is ideal for graduates who desire to work in a role that integrates computing, biomedical science, medicine and healthcare to prevent diseases and illness, enhance treatment interventions and improve on quality of life.


Semester One

  • Introduction to Genetics and Genomics
  • Bioinformatics and Functional Genomics
  • Introduction to Programming or an optional module

*The Introduction to Programming module is optional for students with substantial prior computing programming skills. Such students may study an alternative module from the optional modules list. 

Semester Two

  • Advanced Bioinformatics and Genome Analysis
  • Knowledge Management 

Plus one optional module from:

  • Introduction to Programming
  • Healthcare Research Methods
  • Leadership and Management Competence in Healthcare
  • Information Systems in healthcare 
  • Data Management in Healthcare 

NB: Optional Module availability is subject to change

Career and study progression

The IT industry, healthcare organisations, public research establishments and university research departments are all looking for data experts to help them manage and interpret biological data. Our graduates follow careers in areas such as clinical bioinformatics, pharmaceutical and biotech, personalised medicine and wellbeing, agricultural science and research, animal research and public health.

Our MSc Bioinformatics is aligned with workforce development needs in industry, healthcare, public research establishments and university research. Therefore our students follow careers in:

  • clinical informatics
  • pharmaceutical and biotech companies
  • personalised medicine and wellbeing
  • agricultural science and research
  • animal research institutes
  • academic research institutes
  • food industry
  • public institutions
  • IT companies
  • public health.

Study progression

On successful completion of this course you can pursue further study at MPhil and PhD level. See our Research and enterprise page to find out more.

How to apply

Click the following link for information on how to apply to this course.

Scholarships and bursaries

Information about scholarships and bursaries can be found here.

Visit the MSc Bioinformatics page on the University of West London website for more details!





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