* Deposits. Fee for re-assessment of a dissertation (PGT programme): £360 Submission of thesis after deadline lapsed: £340 Registration/exam only fee: £160
International English Language Testing System (IELTS) Academic module (not General Training)
overall score 6.5
no sub-test less than 6.0
or equivalent scores in another recognised qualification:
Common equivalent English language qualifications
All stated English tests are acceptable for admission for both home/EU and international students for this programme:
ibTOEFL: 90; no sub-test less than:
Reading: 20
Listening: 19
Speaking: 19
Writing: 23
CAE (Cambridge Certificate of Advanced English): 176 overall; no sub-test less than 169
CPE (Cambridge Certificate of Proficiency in English): 176 overall; no sub-test less than 169
PTE Academic (Pearson Test of English, Academic test): 60; no sub-test less than 59
Trinity College London Integrated Skills in English: ISEII at Distinction with Distinction in all sub-tests
For international students, the Home Office has confirmed that the University can choose to use these tests to make its own assessment of English language ability for visa applications to degree level programmes. The University is also able to accept an IELTS test (Academic module) from any of the 1000 IELTS test centres from around the world and we do not require a specific UKVI IELTS test for degree level programmes. We therefore still accept any of the English tests listed for admission to this programme.
Equips you with understanding and hands-on experience of both computing and biological research practices relating to bioinformatics and functional genomics.
Benefit from being taught by scientists at the cutting edge of their field with intensive, hands-on experience in an active research lab during the summer research project.
Based in the College of Medical, Veterinary & Life Sciences, which has carried out internationally-leading research in functional genomics and systems biology. It’s an ideal environment in which to train.
Emphasis is placed on understanding core principles in practical bioinformatics and functional genomics, then implementing that understanding in a series of practical elective courses in semester 2 and a summer research project.
Gain practical experience of working with large molecular datasets, with semester 2 courses built around real research scenarios, enabling you to see why each scenario uses the particular approaches it does and how to go about organising and implementing appropriate analysis pipelines.
Advanced biocomputing skills are now deemed essential for many PhD studentships/projects in molecular bioscience and biomedicine, and are of increasing importance for many other such projects. We have also updated the programme to cater more readily for those interested in preparing for life sciences PhD projects.
We welcome many students pursuing a career in Bioinformatics and several alumni now have careers in the field.
Learn computer programming in courses run by staff in the internationally reputed School of Computing Science, in conjunction with their MSc in Information Technology.
Some of the teaching and research scenarios you’ll be exposed to reflect the activities of 'Glasgow Polyomics', a world-class omics facility set up within the university in 2012 to provide research services using microarray, proteomics, metabolomics and next-generation DNA sequencing technologies.
Scientists here have pioneered the 'polyomics' approach, in which new insights come from the integration of data across different omics levels. Courses run by GP staff also provide a glimpse of 'systems biology' thinking - we see this as an important approach to the analysis of biological problems.
We have several world-renowned research centres at the University, such as the Wellcome Centre for Molecular Parasitology, the MRC-University of Glasgow Centre for Virus Research and the Wolfson Wohl Cancer Research Centre, whose scientists do ground-breaking research employing bioinformatic approaches in the study of disease.
More information:click here
Bioinformatics helps biologists gain new insights about genomes (genomics) and genes, about RNA expression products of genes (transcriptomics) and about proteins (proteomics); rapid advances have also been made in the study of cellular metabolites (metabolomics) and in a newer area, systems biology.
‘Polyomics’ is an intrinsically systems-level approach involving the integration of data from these ‘functional genomics’ areas - genomics, transcriptomics, proteomics and metabolomics - to derive new insights about how biological systems function.
The programme structure is designed to equip students with understanding and hands-on experience of both computing and biological research practices relating to bioinformatics and functional genomics, to show students how the computing approaches and biological questions they are being used to answer are connected, and to give students an insight into new approaches for integration of data and analysis across the 'omics' domains.
On this programme, you will develop a range of computing and programming skills, as well as skills in data handling, analysis (including statistics) and interpretation, and you will be brought up to date with recent advances in biological science that have been informed by bioinformatics approaches.
The programme has the following overall structure:
core material of 60 credits in semester 1, made up of 10, 15 and 20 credit courses.
optional material of 60 credits in semester 2: students select 4 courses (two 10 credit courses and two 20 credit courses) from those available.
Project of 60 credits over 14 weeks embedded in a research group over the summer.
Core courses include:
PROGRAMMING
DATABASE THEORY AND APPLICATION (M)
FOUNDATIONS OF BIOINFORMATICS
OMICS AND SYSTEMS APPROACHES IN BIOLOGY
MSC BIOINFORMATICS PROJECT
Optional Courses Include:
IDENTIFICATION OF DISEASE-CAUSING GENETIC VARIANTS
ANIMAL MODELS OF DISEASE
USING CHEMICAL STRUCTURE DATABASES IN DRUG DISCOVERY FOR PROTEIN TARGETS
RNA-SEQ AND NEXT GENERATION TRANSCRIPTOMICS
OMIC ANALYSES FOR THE BIOMEDICAL SCIENCES: FROM GENOMICS TO METABOLOMIC
BIO-IMAGING FOR RESEARCH SCIENTISTS
CLINICAL GENOMICS
PATHOGEN POLYOMICS
MSc Outcome
The MSc outcome will require 180 credits total (full-time only):
- 60 credit 'core' courses: Semester 1: Sept - Dec
- 60 credit 'optional' courses: Semester 2: Jan - May
- 60 credits research project; Summer: May - August
Pre-Sessional English Course
This depends on your starting level. For students aiming for the standard requirement of IELTS 6.5 and starting a degree programme in September we recommend
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;
human genetics
infection and immunity
human nutrition
cancer research
biomedical and translational research
genomics
clinical brain sciences
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:
biotechnology
biosciences
neuroinformatics
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.
Some have entered a wide range of job roles with examples including:
computational biologist
bioinformatician (now a career path within academia in its own right)
computer programmer
research technician
research scientist
research assistant
Insurrance_fee: £300/year
