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| Location: | Birmingham / United Kingdom / View location on map ▾ Hide location on map ▴ | ||
| Duration: | 12 months | ||
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| Languages: | English | ||
The aim of the MSc programme is to provide professional training in the principles, analytical methods and interpretive skills that are necessary to explore the complexities of modern biological data.
These data arise from high throughput technologies for sequencing, transcriptome and proteome assays and are supported by extensive cross species bioinformatics links. Genomics attempts to integrate these wide ranging but interlinked sources of information to provide deeper insights into biological systems. The course will integrate skills in biological sciences with statistics, bioinformatics and the use of computer software applications.
Careers
There is a great demand for people with training in these areas in industry and in research organisations. Graduates from the course will have the skills to enter careers involved in areas as diverse as medical science, pharmaceuticals, animal, plant and microbial improvement and as company employees in industries such as computer software, pharmaceutical, insurance, biotech and consultancy.
Graduates will also readily find opportunities to progress to PhD training in genomics related subjects and be well equipped with professional knowledge and skills to be employed as research and teaching assistants in universities and research institutions in areas such as medical science, biosciences, agricultural and environmental sciences, bioinformatics and statistics.
Key facts
Type of Course: Taught
Duration: 1 year
Start date: September 2012
This one-year MSc course requires students to take six taught modules and undertake a research project on genomics or omics. The six modules are:
* Principles of Genomics
* Mapping Genes and Genetic Markers
* Advanced Methods of Genomic Data Analysis
* Analysis of Quantitative Trait Loci (QTL)
* Principles and methods for modelling and analysis of expression profiles of trsancripteome, proteome and metabolome
* Functional Genomics and Reverse Genetics
Learning and teaching
The module teaching and learning elements comprise:
* Each module contains three to five weeks of lectures
* Each week consists of 9–11 contact hours (lectures/tutorials)
* Each teaching week requires not less than 40 hours of self-teaching and out of class learning
* The 60-credit research project (May–September) will be undertaken in a research laboratory either within the university or outside research institution
Skills gained
The degree programme will provide students with:
* A comprehensive knowledge of essential molecular, quantitative and population genetics, statistics and computer programming
* A systematic understanding of the principles of genomic, transcriptomic, proteomic and metabolic analyses and essential features of the -omics datasets
* A solid grasp and understanding of the major statistical methods and approaches for modelling and analysing various omics data
* A comprehensive knowledge of the principal software packages for manipulating and analysing data from various omics experiments
* Abilities to program in at least one compiler or interpreter computer program language
* Skills in interpreting, reporting and presenting analyses of omics data
* A ‘flying start’ to progress to a subsequent PhD programme
You are normally required to take an English Proficiency Test.
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* IELTS 6.5 with no less than 6.0 in any band.
* TOEFL 580 Paper- based test / 237 Computer-based test.
| Minimal degree required: | Bachelor's degree |
| Minimal amount of work experience | Not specified |
| Cambridge English: Advanced (CAE): | Grade A (Score: 80) |
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