Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: MSc: 12 months full-time
PgDip: 9 months full-time
PgCert: 3 months full-time
Bioinformatics is a discipline at the interface between biology, computing and statistics and is used in organismal biology, molecular biology and biomedicine. This programme focuses on using computers to glean new insights from DNA, RNA and protein sequence data and related data at the molecular level through data storage, mining, analysis and graphical presentation - all of which form a core part of modern biology.
2.1 Hons (or non-UK equivalent) in Genetics, Molecular and Cellular Biology, Biochemistry, Biomedical Sciences, or other Life Sciences, with modules in Genetics and Molecular Biology at an average grade of 2.1 or non-UK equivalent.
We may also accept degrees in Computing Science, IT, Maths, Statistics, and Life Sciences subjects that do not fulfil core module requirements.
We may sometimes accept degrees at 2.2 Hons (or non-UK equivalent), if higher scores have been achieved in the subjects listed above, or in other relevant modules.
Most of our graduates embark on a University or Institute-based research career path, here in the UK or abroad, using the skills they've acquired on our programme in fields such as biomedical and translational research, cancer research, clinical brain sciences, genomics, human genetics, human nutrition and infection & immunity.
These skills are now of primary relevance in many areas of modern biology and biomedicine with many successful in getting a PhD studentship.
A postgraduate degree in bioinformatics is also valued by many employers in the life sciences sector, for example, computing biology jobs in biosciences, biotechnology, neuroinformatics and pharma industries.
Some of our graduates have entered science-related careers in scientific publishing or education. While others have gone into computing-related jobs in non-bioscience industry or the public sector.
Core courses include:
Biological Computing in Python
Foundations of Bioinformatics: an Introduction to Computational Biology and Omics Analysis
MSc Bioinformatics Project
Programming and Databases for Biologists
Statistics and Data Analysis for Bioinformatics
Optional courses include:
Animal Models of Disease
Bio-Imaging for Research Scientists
Data Exploration and Interpretation for Bioinformatics
Clinical Genomics
Identification of Disease-Causing Genetic Variants
Omic analyses for the biomedical sciences: from genomics to metabolomic
Pathogen Polyomics
RNA-seq and Next Generation Transcriptomics
Using Chemical Structure Databases in Drug Discovery
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