Overview
About the programme
The University of Manchester is a leading centre for Bioinformatics and computational biology, with one of the largest concentrations of academic groups in any UK higher education institute.
Biology is increasingly becoming a more digital science that generates large volumes of complex data, requiring allied informatics skills to process, analyse and store the information generated, leading to better interpretation of biological function, and potentially novel predictions. This can be used in both biology and clinical settings, for prediction of gene function in biological processes as well as in diagnostics and prognostics linked to disease.
This growth in the area has, in the main, been driven by the expansion of genomic and post-genomic technologies (e.g. next generation sequencing and allied 'omics) that generate high volumes of sequence and gene expression information, for example for the human 100,000 genomes project.
Incresingly, this can also involve spatial and temporal information such as imaging data, as well as recent developments in protein structure prediction. By integrating such data sources including evolutionary, environmental, text-mining and more, new understanding and discoveries can be made which place bioinformatics at the core of modern bioscience research.
We cover the full range of skills and expertise across an exciting portfolio of research topics, ranging from sequence analysis of nucleotides and proteins, through to integrated systems biology and mathematical modelling and machine learning.
Programme Structure
How you will learn:
- We analyse data and generate tools linked to topics such as noncoding gene function, transcriptional networks, systems biology of cancer, antimicrobial resistance, protein folding and aggregation, quantitative proteomics and metabolomics in organisms ranging from viruses, microbes and model organisms to man.
- This often involves informatics approaches to help close the genotype-phenotype gap - i.e. why does varying at the genetic level lead to a particular change in phenotype, such as genetic disease.
Key information
Duration
- Full-time
- 36 months
Start dates & application deadlines
- Starting
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Language
Delivered
Disciplines
Bioinformatics & Biostatistics View 33 other PhDs in Bioinformatics & Biostatistics in United KingdomAcademic requirements
English requirements
Other requirements
General requirements
- We require applicants to hold, or be about to obtain, an Upper Second class Honours degree, or the equivalent qualification gained outside the UK, in a related subject area for entry to a PhD programme.
- A Lower Second class Honours degree may be considered if applicants also hold a Master's degree with a Merit classification.
Tuition Fee
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International
26500 GBP/yearTuition FeeBased on the tuition of 26500 GBP per year during 36 months. -
National
4712 GBP/yearTuition FeeBased on the tuition of 4712 GBP per year during 36 months.
- UK (per annum): Standard £4,712, Low £10,000, Medium £17,500, High £22,500
- International (per annum): Standard £26,500, Low £27,500, Medium £34,500, High £39,500
Living costs for Manchester
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find PhD's scholarship opportunities for Bioinformatics.
Available Scholarships
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