Course options

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Make sure you check on the university, college or conservatoire website for any updates about course changes as a result of COVID-19.

Course summary

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 complemented 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 School of Geographical Sciences is ranked first in the UK for 'Geography and environmental studies' research (THE analysis of REF 2021). The MSc is taught by world-leading researchers from the School's Hydrology, Glaciology and Earth Systems 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.

Assessment method

https://www.bristol.ac.uk/study/media/postgraduate/admissions-statements/2024/msc-environmental-modelling-data-analysis.pdf


How to apply

International applicants

The University of Bristol welcomes applications from international students and accepts a wide range of qualifications for postgraduate study. If you study or have studied at a university outside the UK, please select the relevant page for further information on qualifications, scholarships and education representatives in your country/region: bristol.ac.uk/international/countries

Entry requirements

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 modelling as evidenced by their transcript. We will consider applicants whose interim grades are currently slightly lower than the programme's entry requirements. We may make these applicants an aspirational offer. This offer would be at the standard level, so the applicant would need to achieve the standard entry requirements by the end of their degree. Specific module requirements may still apply. We will consider applicants whose grades are slightly lower than the programme's entry requirements, if they have at least one of the following: - evidence of significant, relevant work experience; - a relevant postgraduate qualification. If this is the case, applicants should include their CV (curriculum vitae / résumé) when they apply, showing details of their relevant work experience and/or qualifications. See international equivalent qualifications on the International Office website.


Fees and funding

Tuition fees

England £6550 Year 1
Northern Ireland £6550 Year 1
Scotland £6550 Year 1
Wales £6550 Year 1
Channel Islands £6550 Year 1

Additional fee information

Fees are subject to an annual review. For programmes that last longer than one year, please budget for up to an 8% increase in fees each year. For more information, please view the programme page on our website.
Environmental Modelling and Data Analysis at University of Bristol - UCAS