Taught course

Bioinformatics with Systems Biology

Birkbeck, University of London · Biological Sciences

Entry requirements

Applicants may have first degrees in a wide range of subjects, including biology, computer science, mathematics, chemistry or physics.

Some practical knowledge of one programming language would be a distinct advantage.

Mathematics to A-level or equivalent desirable, but GCSE/O-level considered.

Months of entry


Course content

This specialist postgraduate degree provides high-quality training in bioinformatics, including a major research component, and an introduction to the emerging field of systems biology.

The programme is ideal if you are from a scientific background and want to pursue research training in bioinformatics and systems biology, or if you are seeking a future career in both academia and industry. Bioinformatics and systems biology have grown dramatically in the last two decades and this programme has been designed to meet the needs of the pharmaceutical, chemical and biotechnology industries for research and development.

It covers the core concepts and statistical fundamentals underpinning bioinformatics, most notably in the area of sequence analysis. You will learn how to program in Python and design and query databases using SQL, and gain experience in more advanced programming practices such as software testing and application development. You will also explore core biological concepts such as genes and genomes, protein structure and function, and growth areas such as Next Generation Sequencing and systems modelling.

Our research areas include:

  • computational structural bioinformatics, with a focus on the characterisation of macromolecular assemblies relevant to disease
  • analysis of next-generation sequencing data, both genomic and transcriptomic
  • immunoinformatics, in particular virus-host interactions and immune responses to protein therapeutics
  • developing bioinformatics and chemoinformatics methods to analyse metabolic pathways
  • structure-thermodynamic relationships, molecular simulation and inhibitor design
  • developing new computational methods that exploit data produced using various experimental techniques (eg cryo-EM, mass spectrometry, NMR and tomography).

Information for international students

If English is not your first language or you have not previously studied in English, our usual requirement is the equivalent of an International English Language Testing System (IELTS Academic Test) score of 6.5, with not less than 6.0 in each of the sub-tests.

Qualification and course duration


full time
12 months
part time
24 months

Course contact details

Student Advice Service
+44(0) 20 3907 0700