Master Bioinformatics (interdisciplinary)

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Queen Mary, University of London

Comments about Master Bioinformatics (interdisciplinary) - At the institution - London - Greater London

• Entry requirements
  You should possess a good Honours degree (minimum 2.1) with a substantial computer science component (at least half) or equivalent industrial experience. You should also have good programming skills for undertaking the practical elements of the programme.
• Academic title
  MSc Bioinformatics (interdisciplinary)
• Course description
  This MSc programme is intended for graduates of both biological sciences and computer-related subjects (including physics and mathematics) who want to convert to Bioinformatics.
  
  Bioinformatics is an important and fast-developing interdisciplinary field, combining the 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 programme is designed for students from two different types of background providing essential skills 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 will learn essential concepts of the organisation of genetic information and how the genetic blueprint is implemented to exist as a fully functioning organism.
  
  You will 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 programme involves application of these principles and techniques to biological data analysis.
  
  Programme outline
  
  The Research Methods double module is a compulsory component. This includes early preparation for the MSc project, which is devoted to substantial theoretical, practical or experimental work leading to the submission of a dissertation in September.
  
  Core modules:
  
      * Research Methods for Bioinformatics (two-semester single module)
      * MSc Project.
  
  Study options include:
  
      * Advanced Database Systems and Technologies
      * Advanced Program Design (in Java)
      * Algorithms and complexity
      * Computational Genomics
      * Database Systems
      * Functional Genomics
      * Genes and Bioinformatics
      * Genomics
      * Heredity and Gene Action
      * IT Programming (double module)
      * Software Engineering
      * Software Risk Assessment
      * Systems Analysis
      * The Semantic Web
      * Transmission Genetics
      * XML and Structured Information.
  
  Please note module availability is subject to change.

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