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University of Glasgow: Bioinformatics
| Institution | University of Glasgow View institution profile |
|---|---|
| Department | School of Biodiversity, One Health & Veterinary Medicine |
| Web | www.glasgow.ac.uk/ |
| Study type | Taught |
MSc
Summary
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.
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.
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.
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. 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. Watch our latest Ask Your Academic webinar to find out more about this programme.
* Accredited by the **Royal Society of Biology** for the purpose of meeting, in part, the academic and experience requirement
* Equips you with understanding and hands-on experience of both computing and biological research practices relating to bioinformatics and functional genomics.
* 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.
* 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 Python, a language used in many areas of bioinformatics and biological computing
* 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.
**Main Campus Location**
Undertaken at the Gilmorehill Campus in the West End of Glasgow.
The programme has the following overall structure:
* Core material of 60 credits in semester 1, made up of 10 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:
* 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
**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
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.
Some have entered a wide range of job roles with examples including bioinformatician (now a career path within academia in its own right), computational biologist, computer programmer, research assistant, research scientist and research technician.
Summary
The Masters in Bioinformatics is an exciting and innovative programme that has been updated for 2021/22. 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.
PgCert
Summary
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.
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.
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.
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. 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. Watch our latest Ask Your Academic webinar to find out more about this programme.
* Accredited by the **Royal Society of Biology** for the purpose of meeting, in part, the academic and experience requirement
* Equips you with understanding and hands-on experience of both computing and biological research practices relating to bioinformatics and functional genomics.
* 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.
* 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 Python, a language used in many areas of bioinformatics and biological computing
* 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.
**Main Campus Location**
Undertaken at the Gilmorehill Campus in the West End of Glasgow.
The programme has the following overall structure:
* Core material of 60 credits in semester 1, made up of 10 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:
* 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
**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
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.
Some have entered a wide range of job roles with examples including bioinformatician (now a career path within academia in its own right), computational biologist, computer programmer, research assistant, research scientist and research technician.
PgDip
Summary
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.
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.
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.
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. 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. Watch our latest Ask Your Academic webinar to find out more about this programme.
* Accredited by the **Royal Society of Biology** for the purpose of meeting, in part, the academic and experience requirement
* Equips you with understanding and hands-on experience of both computing and biological research practices relating to bioinformatics and functional genomics.
* 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.
* 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 Python, a language used in many areas of bioinformatics and biological computing
* 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.
**Main Campus Location**
Undertaken at the Gilmorehill Campus in the West End of Glasgow.
The programme has the following overall structure:
* Core material of 60 credits in semester 1, made up of 10 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:
* 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
**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
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.
Some have entered a wide range of job roles with examples including bioinformatician (now a career path within academia in its own right), computational biologist, computer programmer, research assistant, research scientist and research technician.
The University of Glasgow is one of the UK’s most prestigious seats of learning, and the fourth oldest university in the English speaking world. Established in 1451 and recognised for its world-changing research and teaching, the University has inspired thinkers from eminent scientist Lord Kelvin and the father of economics Adam Smith, to Scotland’s First Minister Nicola Sturgeon.
Rankings
The University:
is ranked 81st in the world in the QS World University Rankings 2023
- is in the top 100 in the world: Times Higher World University Rankings 2023
- 95.9% of students in employment or further study 6 months after graduation …
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