GCS1 MSc Bioinformatics
This MSc programme offers a broad range of advanced study relevant for the application of computational methods to the analysis of biological data.
Bioinformatics is an important and fast developing interdisciplinary field, combining biomedical and computer sciences. We are witnessing a huge growth in biological data driven by high-throughput experimental methods, such as those used in the human genome project. The volume of data makes the use of computational methods vital for identifying gene function and regulation, uncovering the structure and function of bio-molecules and many other problems. Great opportunities exist for suitably qualified people both within the pharmaceutical and biotech industries, and in research.
The course is designed for students from two different types of background, and will provide essential training in the other disciplines required in Bioinformatics. Students with
- a biological background will develop practical programming ability and a more formal understanding of computer science
- a physical sciences/ computing background learn essential concepts of the organisation of genetic information and how the genetic blueprint is implemented to exist as a fully functioning organism.
The programme then goes on to provide training in a broad range of cutting-edge methods used in the analysis of biological data, exploiting research expertise within the School of Medicine and Dentistry, the School of Biological and Chemical Sciences, and the Department of Computer Science at Queen Mary.
All students gain experience with concepts in software design and implementation in the context of molecular biology, together with an understanding of the theoretical framework that underpins some of the commonly used methods of analysis. Project work on the course involves application of these principles and techniques to biological data analysis.
Applicants must possess a good first honors degree or equivalent. There are two entry routes:
- You may have a first degree in Biological Sciences (including a strong component of genetics, molecular biology, biochemistry or similar discipline). Some exposure to programming is useful; alternatively you should be able to show some mathematical aptitude.
- You may have a first degree in Mathematics, a Physical Science, or Computer Science. It is important that your previous study also includes some coverage of Biology or a closely related Science. You should also be a capable programmer.
Course content
You will take eight taught modules delivered over two twelve-week semesters and undertake a substantial
project during the summer, which may be in conjunction with an industrial research partner. The taught modules
offered include a number of core units and a range of specialist study options to choose from so that you can
learn more about the topics that interest you.
- Heredity and Gene Action
- Transmission Genetics
- IT Programming (double module)
- Software Engineering
- Database Systems
- Genomics
- System Analysis
- Advanced Program Design
- XML and Structured Information
- Advanced Database Systems and Technology
- Semantic Web
- Genes and Bioinformatics
- Software Risk Assessment
- Algorithms and complexity
- Computational Genomics
- Functional Genomics
Please note that module availability may vary slightly from year to year.
Career opportunities
Bioinformatics, is one of the fastest growing disciplines. A degree in Bioinformatics can
open up a rewarding career
in the biotechnology industry, or work in pharmaceutical development, drug discovery,
forensics, or environmental and ecological research.
Entry requirements
Please refer to our entry requirements page.
Further information
We welcome any enquiries. Here is how to contact us.