Data Science for the Environment
This programme is aimed at students with a background in environmental, earth or ecological sciences who want to develop strong quantitative, data handling and analytical skills for application within their field. The production of data that are relevant to environmental issues is increasing at a phenomenal rate. Technological advances in fields such as remote sensing, imaging and forecasting are increasingly producing data from more sources and with higher resolution than we have been able to handle until recently. There is a need for data scientists who are able to organise, analyse and disseminate such data in order to answer questions which will help us manage a range of scenarios, from management of natural resources to predicting population change. This programme will involve a mixture of taught modules and a research dissertation with a placement in industry or with a research organisation.
An upper 2nd Class Honours degree, or its equivalent, in a relevant subject. Students whose 1st language is not English require an IELTS score of 6.5.
Modules on offer include: Data mining; data science fundamentals; food security, agriculture and climate change; geoinformatics; global change and the earth system; habitat management; modelling environmental processes; programming for data scientists; statistical inference; statistical methods and modelling.
Assessment is based on coursework and examination.
|Qualification||Study mode||Fee||Course duration|
|MSc||Full-time||£ 6,830 per Academic year (home fees)||12 months|
|MSc||Full-time||£ 17,880 per Academic year (overseas fees)||12 months|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|