Description

As biological sciences have become more data driven, bioinformatics is now central to modern biological research, from genetics, nutrition and epidemiology to ecology, neuroscience and biomedicine.

New analytical techniques deliver ever more data about genes, proteins, metabolites and the interactions between them. Bioinformatics is the discipline tasked with turning all this data into useful information and new biological knowledge. With applications spanning the breadth of life science disciplines, there is now high demand for trained bioinformaticians.

This programme will teach you how to manage and manipulate large datasets to reveal new insights in biological sciences. You will get intensive training in a computer-based approach to biological research, with the opportunity to develop specialist skills in computer programming, data analysis, statistics and computational biology.

Course Highlights

  • Training to manage, analyse, integrate and visualise big data using technologies such as Python and R
  • Development of skills applicable to software development, data analytics and finance
  • Delivered by academics who are actively engaged in developing bioinformatics tools and applying them in areas such as genome sequencing, proteomics, evolution, ecology, psychology, cancer, diabetes and other diseases
  • Opportunities to publish scientific papers (recent graduate had her MSc project work included in a paper published in Science)
  • Strong foundation for employment in biotechnology, life sciences and pharmaceutical sectors or PhD research

Study Details:

MSc 1 year Full time 2 years Part time

Module Details:

You will take four compulsory modules (15 credits each) in semester one. In semester two, you will undertake a six week group research project (30 credits) where skills developed in previous modules are applied to develop a novel piece of software to meet a real biological need. You will then embark on a six month individual research project, the topic of which is quite flexible as long as it has bioinformatics at its core.

Taught Modules include:

  • Genome Bioinformatics
  • Coding for Scientists
  • Statistics and Bioinformatics
  • Post-genomic Bioinformatics

Programme Funding

There are a number of sources of funding available for Masters students.

These include a significant package of competitive Queen Mary University of London (QMUL) bursaries and scholarships in a range of subject areas, as well as external sources of funding.

Student Destinations

Our Bioinformatics programme will equip you with a strong foundation for further PhD research or for prospective employment. There is an increasing demand for bioinformatics skills across the biotechnology, life sciences and pharmaceutical sectors. The ability to manage, analyse, integrate and visualise “big data” using technologies such as Python and R is also applicable to fields including software development, data analytics and finance.

Fees

Home and EU students 2019/20 Academic Year Full time £10,100 Part time £5,050 International students 2019/20 Academic Year Full time £21,950 Part time £10,425

Entry Requirements

A minimum of an upper second-class BSc (Hons) degree (or equivalent international qualification) in biology or other relevant natural sciences subject.

Applicants with a good lower second class degree may be considered on an individual basis, taking into account relevant background and related achievements.

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Queen Mary University of London

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