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The MRes in Computational Biology programme trains graduates to meet the computational research demands of modern interdisciplinary bioscience in universities, research institutes and industry. Delivered by staff from across the Departments of Biology, Chemistry and Computer Science, the course provides interdisciplinary research-led training in data analysis, informatics and the simulation of biosystems.
What kind of background do students have?
The programme is principally aimed at graduates of the biological and molecular sciences but also accepts graduates of computer science, mathematics and statistics. The course develops the core skills to support long-term research careers in computational and quantitative areas of modern interdisciplinary integrative bioscience.
What kind of graduate does the programme produce?
The programme develops computational bioscientists who:
* can organise and analyse large datasets generated by `omic-scale technologies
* adopt an integrated view of biological systems across many levels of organisation
* understand the role of modelling and simulation of biological systems
* have direct experience of interdisciplinary research
* appreciate the role of science in society e.g. commerce, IP issues, ethics and the public understanding of science
The programme consists of modules (including lectures, workshops and projects) that are carefully tailored to deliver the programmes aims delivered by an interdisciplinary team of staff across the Departments of Biology, Chemistry and Computer Science.
What kinds of skills will I develop?
The programme develops skills in the following areas:
* Data analysis * Data Analysis I: Concepts and Skills - basic numerical and statistical concepts
* Data Analysis II: Applied Biological Data Analysis - multivariate analysis methods
* Introduction to Machine Learning - artificial neural networks, Bayesian & symbolic approaches to data analysis
* Programming * Introduction to Programming programming concepts and practice (using Python)
* Biocomputing & Web Applications Python and Web applications programming
* Informatics * Sequence, Structure, and Genomics - genome-scale sequence and analysis in a functional and evolutionary context and epigenetics.
* Modelling and simulation * Complex Dynamical Biosystems biosystem concepts, models and simulation
* Transferable skills * Transferable Skills I Personal Effectiveness
* Transferable Skills II Science and Industry
* Research skills * Project 1 (12 weeks) internal
* Project 2 (16 weeks) an external placement in industry, research institutes or universities.
Want to improve your English level for admission?
Prepare for the program requirements with English Online by the British Council.
- Flexible study schedule
- Experienced teachers
- Certificate upon completion
📘 Recommended for students with an IELTS level of 6.0 or below.