Environmental Modelling and Data Analysis

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.

Months of entry

September

Course content

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.

Information for international students

See international equivalent qualifications on the International Office website.

Fees and funding

Students from developing Commonwealth countries may be eligible to apply for the Commonwealth Shared Scholarship Scheme, University of Bristol Think Big Postgraduate Scholarship, and the School of Geographical Sciences Phyllis Mary Morris Bursaries.

Further information on funding for prospective UK and international postgraduate students.