Taught course

Applied Bioinformatics

Cranfield University · Environmental Technology

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Entry requirements

A first or second class UK Honours degree (or equivalent) in a life science, computer-science subject or candidates with appropriate professional experience.

Months of entry


Course content

Over the past few years, Bioinformatics has become the most exciting field in biology. This Bioinformatics MSc course provides a unique hands-on learning experience in bioinformatics skills, by combining the latest advances in analysing high-throughput genomic, transcriptomic and metabolomics data.

Cranfield’s Bioinformatics MSc is the first of its kind in the UK. With more than 200 alumni over the past 10 years, it became the most popular postgraduate course in Bioinformatics in Europe. Because Cranfield is a solely postgraduate university meant that every single taught module of the Applied Bioinformatics MSc is uniquely tailored to be a Masters-level. That’s why it is the award-winner of the BBSRC’s Masters Training Grant (MTG) for best course in life sciences. Our taught modules cover in great depth a plethora of programming languages typically applied in the bioinformatics, such as Perl, Java, R and SQL; as well as modern Web technologies such as JavaEE, NoSQL and JavaScript. Furthermore, we have two dedicated taught modules focusing on established bioinformatics protocols for the latest Next Generation Sequencing (NGS) and 3rd Generation Sequencing (3GS) technologies.

This course aims to equip graduate scientists with the computational skills and awareness needed to process, analyse and interpret the vast amounts of biological data now becoming available. This course is equally suitable for candidates from life sciences disciplines who aim to gain the programming and computational skills through this course, and graduates with IT/computer science background who want to gain the molecular biology understanding to become bioinformaticians.

On completion of this course, you will be able to apply information technology and computational techniques to process genomic and genetic data, as well as developing novel drug discovery and diagnostic tools.

Additionally, you will gain the skills to design and implement software tools and databases using the latest advances in standalone and web-based technologies to fulfil the need of the research community.

Fees and funding

UK students
International students

Qualification, course duration and attendance options

  • MSc
    part time
    24-36 months
    • Campus-based learningis available for this qualification
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

+44 (0)1234 758082