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Course content

Our MSc Bioinformatics and Systems Biology course looks at two concepts that complement each other and reflect the skills currently sought by employers in academia and industry.

Bioinformatics is changing as high throughput biological data collection becomes more systems-oriented, with employers seeking people who can work across both disciplines.

Enormous success has been achieved in bioinformatics, such as in defining homologous families of sequences at the DNA, RNA, and protein levels. However, our appreciation of function is changing rapidly as experimental analysis scales up to cellular and organismal viewpoints. 

At these levels, we are interested in the properties of a network of interacting components in a system, as well as the components themselves. 

Our MSc reflects these exciting developments, providing an integrated programme taught by researchers at the forefront of fields spanning bioinformatics, genomics and systems biology.

You will gain theoretical and practical knowledge of methods to analyse and interpret the data generated by modern biology. This involves the appreciation of biochemistry and molecular biology, together with IT and computer science techniques that will prepare you for multidisciplinary careers in research.


This course aims to:

  • provide a biological background to the data types of genomics, proteomics and metabolomics;
  • develop the computational and analytical understanding necessary as a platform for processing biological data;
  • demonstrate applications and worked examples in the fields of bioinformatics and system biology, integrating with student involvement through project work.

Special features

Expert teaching

Learn from researchers at the forefront of fields spanning bioinformatics, genomics and systems biology.

Research experience

Develop your research skills in preparation for a career in the biosciences industry or academic research.

Teaching and learning

We use a range of teaching and learning methods, including lectures, practicals, group discussions, problem classes and e-learning.

Research projects provide experience of carrying out a substantive research project, including the planning, execution and communication of original scientific research.

Find out more by visiting the postgraduate teaching and learning page.

Coursework and assessment

Research projects are assessed by written report. Taught units are assessed through both coursework and exams.

Course unit details

The taught part of the course runs from September to April and consists of 60 credits delivered from four 15-credit units:

  • Bioinformatics
  • Programming Skills
  • Computational Approaches to Biology
  • Experimental Design and Statistics.

You will undertake two research projects, each carrying 60 credits, in Semester 2 and the summer.

Additionally, tutorials and the Graduate Training Programme (skills development) will run through the whole course.

What our students say

"My final MSc project was conducted in collaboration with a cancer research group in Liverpool, aimed at facilitating targeted DNA sequencing of gene regions identified as being important for breast cancer.

This gave me an opportunity to work together with researchers outside of the university on a project that had real-world value."

Martin Gerner


You will be able to access a range of facilities throughout the University.

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service .

Career opportunities

Our graduates acquire a wide range of subject-specific and transferable skills and extensive research experience.

The combination of systems biology and bioinformatics addressed in this course reflects the current skills sought in academic and industrial (eg pharmaceutical) settings.

Around half of each class find PhD positions straight after the MSc, while others build upon their training to enter careers in biology and IT.

Visit the Bioinformatics and Systems Biology (MSc) page on the University of Manchester website for more details!




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Recipient: University of Manchester

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