Bioinformatics and Systems Biology Course details
Year of entry: 2017
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Bioinformatics is changing as high throughput biological data collection becomes more Systems oriented. This means that employers are looking for people able to work across the traditional disciplines.
The MSc in Bioinformatics and Systems Biology at Manchester reflects these exciting developments, providing an integrated programme taught by researchers at the forefront of fields spanning Bioinformatics, Genomics and Systems Biology.
Bioinformatics has been an identifiable discipline for more than a decade, driven by the computational demands of high volumes of biological data. It incorporates both the development and application of algorithms to decipher biological relationships.
Enormous success has been achieved, for example in defining homologous families of sequences at the DNA, RNA, and protein levels. However, our appreciation of function is changing rapidly as experimental analysis scales up to cellular and organismal viewpoints.
At these levels, we are interested in the properties of a network of interacting components in a system, as well as the components themselves. The concepts or Systems Biology and Bioinformatics complement each other, and both are addressed in this course.
This combination reflects the current skills sought in academic and industrial (eg pharmaceutical) settings. An important feature is the extent to which computational biology is concerned with finding patterns in biological data, and generating hypotheses that feed back into experiments.
Teaching is delivered by more than ten academic staff working in the fields of Bioinformatics, Genomics and Systems Biology, representing the breadth and depth of these areas.
The Bioinformatics and Systems Biology course provides students with theoretical and practical knowledge of methods to analyse and interpret the data generated by modern biology. This involves the appreciation of biochemistry and molecular biology, together with the techniques of IT and computer science that will prepare students for multidisciplinary careers in research.
To achieve this there are three main objectives:
- Provide biological background to the data types of Genomics, Proteomics and Metabolomics.
- Develop the computational and analytical understanding necessary as a platform for processing biological data.
- Demonstrate applications and worked examples in the fields of Bioinformatics and System Biology, integrating with student involvement through project work.
Coursework and assessment
Research projects provide experience in carrying through a substantive research project including the planning, execution and communication of original scientific research. They are assessed by written report.
Taught units involve lectures, practicals and problem classes and are assessed through both coursework and exam.
Course unit details
- Programming Skills
- Computational Systems Biology
- Experimental Design and Statistics
You will undertake two research project, each of 60 credits, in Semester 2 and the summer.
Additionally tutorials and the Graduate Training Programme (skills development) will run through the whole programme.
Course unit list
The course unit details given below are subject to change, and are the latest example of the curriculum available on this course of study.
|Communication Skills (0 credit)||BIOL60311||0||Mandatory|
|Research Project 1-Bioinformatics||BIOL61230||60||Mandatory|
|Research Project 2-Bioinformatics||BIOL61280||60||Mandatory|
|Statistics & Experimental Design||BIOL65161||15||Mandatory|
|Computational Approaches to Biology||BIOL66021||15||Mandatory|
|PGT Supervisor Meeting (MSc)||BIOL72100||0||Mandatory|
|PGT Advisor Meeting (MSc)-3||BIOL73050||0||Mandatory|
|PGT Advisor Mtg (MSc)-1||BIOL73130||0||Mandatory|
|Displaying 10 of 13 course units|
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