12 monthsProgramme duration
32,600 GBPTuition Fee/year
27 Aug, 2026Application Deadline
SepStarting Month
Programme overview
Main Subject
Environmental Sciences
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Numerical models and satellite Earth observation are fundamental to understanding environmental systems and change. The MSc in Environmental Modelling and Data Analysis will provide you with the skills to pursue 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, land use and glaciers. You will gain an appreciation of all aspects of environmental modelling, ranging from the philosophy of model development, focusing on links to observations and uncertainty analysis, AI and data science, through to more practical aspects such as numerical approximation and algorithm development and testing.
We welcome a diverse array of students from different subject backgrounds interested in developing skills in Geographical Information Science, analysis of satellite remote sensing and data science techniques more widely. Training in these areas is complemented by hands-on learning aimed at developing your coding skills in scientific programming and high-performance computing, with access to Bristol's unique supercomputing facilities.
The School of Geographical Sciences is ranked first in the UK for 'Geography and Environmental Studies' research (Times Higher Education analysis of REF 2021). The MSc is taught by world-leading researchers from the School's research groups in both physical geography and quantitative spatial science, which host seminars and workshops aimed at consolidating links between environmental modelling and data science.
As a student on our MSc programmes, you’ll join a lively School and University community. We host invited speakers in weekly seminars organised by our School’s academic research groups. These friendly events are open to all students and offer you the opportunity to meet other students and leading specialists in a range of subjects. Research groups may also host social events, run specialist workshops and organise reading groups you are welcome to join.
Our postgraduate social calendar is also busy, with social events and activities for members including cinema nights, writing retreats, field visits, and guided tours of cultural institutions. We also organise get-togethers for our students throughout the year to mark the major milestones in your programme and celebrate your success.
Programme overview
Main Subject
Environmental Sciences
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Numerical models and satellite Earth observation are fundamental to understanding environmental systems and change. The MSc in Environmental Modelling and Data Analysis will provide you with the skills to pursue 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, land use and glaciers. You will gain an appreciation of all aspects of environmental modelling, ranging from the philosophy of model development, focusing on links to observations and uncertainty analysis, AI and data science, through to more practical aspects such as numerical approximation and algorithm development and testing.
We welcome a diverse array of students from different subject backgrounds interested in developing skills in Geographical Information Science, analysis of satellite remote sensing and data science techniques more widely. Training in these areas is complemented by hands-on learning aimed at developing your coding skills in scientific programming and high-performance computing, with access to Bristol's unique supercomputing facilities.
The School of Geographical Sciences is ranked first in the UK for 'Geography and Environmental Studies' research (Times Higher Education analysis of REF 2021). The MSc is taught by world-leading researchers from the School's research groups in both physical geography and quantitative spatial science, which host seminars and workshops aimed at consolidating links between environmental modelling and data science.
As a student on our MSc programmes, you’ll join a lively School and University community. We host invited speakers in weekly seminars organised by our School’s academic research groups. These friendly events are open to all students and offer you the opportunity to meet other students and leading specialists in a range of subjects. Research groups may also host social events, run specialist workshops and organise reading groups you are welcome to join.
Our postgraduate social calendar is also busy, with social events and activities for members including cinema nights, writing retreats, field visits, and guided tours of cultural institutions. We also organise get-togethers for our students throughout the year to mark the major milestones in your programme and celebrate your success.
Admission Requirements
- Environmental, Climate, Hydrological or Urban Modelling
- Remote Sensing
- Earth Observation
- Geographical Information Systems (GIS)
- Geographic Data Science.
We will consider your application if your interim grades are currently slightly lower than the programme's entry requirements and may make you an aspirational offer. This offer would be at the standard level, so you would need to achieve the standard entry requirements by the end of your degree. Specific module requirements would still apply.
We will also consider your application if your final overall achieved grade is slightly lower than the programme's entry requirement.
If your achieved grade is lower than our entry requirements, your application may be more likely to receive an offer if you have additional relevant work experience or qualifications. If you have at least one of the following, please include your CV (curriculum vitae / résumé) when you apply, showing:
- evidence of relevant work experience with minimum of 2 years full-time or 3 years part-time (internships also considered) in one of the relevant sectors: Environmental consultancy/management/monitoring with particular focus on numerical modelling, GIS, data science and/or satellite observations.
- a relevant postgraduate qualification.
Specific module requirements would still apply.
English language requirements
If English is not your first language, you will need to reach the requirements outlined in our profile level C.
- Candidates are required to submit references or letter(s) of recommendation for acceptance
- Candidates are required to submit an essay(s) for acceptance
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