Environmental Data for Global Challenges

Environmental Data for Global Challenges equips students with advanced analytical skills tailored to the unique challenges of environmental data, which often encompasses complex, multi-dimensional, and multi-domain characteristics. In this module, students are introduced to various data sources—spanning atmospheric, aquatic, and terrestrial environments—and learn to interpret these data using advanced analysis techniques applied through visual programming – negating the need for prior programming skills. The course emphasises predictive modelling, real-time data processing, and data visualisation to help students derive actionable insights across a spectrum of environmental domains with issues linked to global environmental challenges. The module is designed to develop critical thinking skills and understanding of how to use large scale environmental data. A variety of current environmental challenges are used to contextualise the critical thinking, knowledge, and technical skills taught in the programme, such as air quality monitoring, forest fire risk analysis, and climate change impacts.

For further information on module objectives, outcomes, syllabus and teaching methods please refer to the Module Catalogue.

To book onto this course, please visit our online store.

This course will be held online.

For administrative queries, please contact the administrative team.