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Numerical models and satellite observation are fundamental to understanding environmental systems and change. The MSc in Environmental Modelling and Data Analysis will provide you with the skills to go on to a career in this exciting area. You will learn how models of environmental processes are developed and applied across a range of areas including climate change, flooding, biogeochemistry and glaciers. You will gain an appreciation of all aspects of environmental modelling ranging from the philosophy of model development, focussing on links to observations and uncertainty analysis, through to more practical aspects such as numerical approximation and algorithm development and testing.
The programme has close links to its twin MSc in Geographical Data Science and Spatial Analytics, which allows students to develop skills in Geographical Information Systems, analysis of satellite observations and Data Science techniques more widely. This will be complimented by hands-on teaching aimed at developing your coding skills in scientific programming and high-performance computing (with access to Bristol’s unique supercomputing facilities).
The MSc is taught by world-leading researchers from the School’s Hydrology, Glaciology and Earth System Modelling research groups. It is closely linked to the School's Geocomputation research strand, which hosts seminars and workshops aimed at consolidating links between environmental modelling and Data Science.
Programme overview
Main Subject
Environmental Sciences
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Numerical models and satellite observation are fundamental to understanding environmental systems and change. The MSc in Environmental Modelling and Data Analysis will provide you with the skills to go on to a career in this exciting area. You will learn how models of environmental processes are developed and applied across a range of areas including climate change, flooding, biogeochemistry and glaciers. You will gain an appreciation of all aspects of environmental modelling ranging from the philosophy of model development, focussing on links to observations and uncertainty analysis, through to more practical aspects such as numerical approximation and algorithm development and testing.
The programme has close links to its twin MSc in Geographical Data Science and Spatial Analytics, which allows students to develop skills in Geographical Information Systems, analysis of satellite observations and Data Science techniques more widely. This will be complimented by hands-on teaching aimed at developing your coding skills in scientific programming and high-performance computing (with access to Bristol’s unique supercomputing facilities).
The MSc is taught by world-leading researchers from the School’s Hydrology, Glaciology and Earth System Modelling research groups. It is closely linked to the School's Geocomputation research strand, which hosts seminars and workshops aimed at consolidating links between environmental modelling and Data Science.
Admission Requirements
67+
3.3+
88+
6.5+
An upper second-class honours degree or international equivalent in an engineering, mathematics or a physical science subject. Applicants with non-standard degree subjects are required to have achieved 60% or international equivalent in a module focussing on environmental, climate or hydrological modelliing as evidenced by their transcript.
24 Jul 2025
1 Year
Sep
Candidates are required to submit references or letter(s) of recommendation for acceptance
Candidates are required to submit an essay(s) for acceptance
Domestic
14,400 GBP
International
31,700 GBP
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
MSc Environmental Modelling and Data Analysis
# =102QS Subject Rankings
12 monthsProgramme duration
31,700 GBPTuition Fee/year
24 Jul, 2025Application Deadline
Programme overview
Main Subject
Environmental Sciences
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Numerical models and satellite observation are fundamental to understanding environmental systems and change. The MSc in Environmental Modelling and Data Analysis will provide you with the skills to go on to a career in this exciting area. You will learn how models of environmental processes are developed and applied across a range of areas including climate change, flooding, biogeochemistry and glaciers. You will gain an appreciation of all aspects of environmental modelling ranging from the philosophy of model development, focussing on links to observations and uncertainty analysis, through to more practical aspects such as numerical approximation and algorithm development and testing.
The programme has close links to its twin MSc in Geographical Data Science and Spatial Analytics, which allows students to develop skills in Geographical Information Systems, analysis of satellite observations and Data Science techniques more widely. This will be complimented by hands-on teaching aimed at developing your coding skills in scientific programming and high-performance computing (with access to Bristol’s unique supercomputing facilities).
The MSc is taught by world-leading researchers from the School’s Hydrology, Glaciology and Earth System Modelling research groups. It is closely linked to the School's Geocomputation research strand, which hosts seminars and workshops aimed at consolidating links between environmental modelling and Data Science.
Programme overview
Main Subject
Environmental Sciences
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Numerical models and satellite observation are fundamental to understanding environmental systems and change. The MSc in Environmental Modelling and Data Analysis will provide you with the skills to go on to a career in this exciting area. You will learn how models of environmental processes are developed and applied across a range of areas including climate change, flooding, biogeochemistry and glaciers. You will gain an appreciation of all aspects of environmental modelling ranging from the philosophy of model development, focussing on links to observations and uncertainty analysis, through to more practical aspects such as numerical approximation and algorithm development and testing.
The programme has close links to its twin MSc in Geographical Data Science and Spatial Analytics, which allows students to develop skills in Geographical Information Systems, analysis of satellite observations and Data Science techniques more widely. This will be complimented by hands-on teaching aimed at developing your coding skills in scientific programming and high-performance computing (with access to Bristol’s unique supercomputing facilities).
The MSc is taught by world-leading researchers from the School’s Hydrology, Glaciology and Earth System Modelling research groups. It is closely linked to the School's Geocomputation research strand, which hosts seminars and workshops aimed at consolidating links between environmental modelling and Data Science.
Admission Requirements
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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PhD Translational Health Sciences
PhD Veterinary Sciences
PhD Health and Wellbeing
Natural Sciences (6)
EngD Composites Manufacture
EngD Composites Manufacture
PhD Advanced Composites
PhD Advanced Composites
PhD Aerosol Science
PhD Aerosol Science
PhD Chemistry
PhD Chemistry
PhD Earth Sciences
PhD Earth Sciences
PhD Engineering Mathematics
PhD Engineering Mathematics
PhD Geographical Sciences (Human Geography)
PhD Geographical Sciences (Physical Geography)
PhD Mathematics
PhD Physics
PhD Superconductivity
PhD Technology Enhanced Chemical Synthesis
PhD Sustainable Futures
Social Sciences and Management (6)
PhD East Asian Studies
PhD East Asian Studies
PhD Education
PhD Education
PhD Global Challenges and Transformations
PhD Global Challenges and Transformations
PhD Law
PhD Law
PhD Politics
PhD Politics
PhD Social Policy
PhD Social Policy
PhD Social Work
PhD Sociology
PhD Sociotechnical Futures and Digital Methods
PhD Film and Television
MSc Environmental Modelling and Data Analysis
Videos & media
Videos & media