Environmental Modelling and Data Analysis

Entry requirements

Applicants must hold/achieve a minimum of a second-class honours degree (or international equivalent) and have studied one or more modules in environmental modelling, climate modelling or hydrological modelling.

Relevant professional experience or qualifications may also be considered as equivalent to the academic entry requirements given above and considered on a case-by-case basis.

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 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.