A first or second class UK Honours degree in a relevant science, engineering or related discipline, or the international equivalent of these UK qualifications. Other relevant qualifications, together with significant experience, may be considered.
Months of entry
Environmental Data Science is developing into an increasingly important professional specialism, where large datasets of spatial and temporal information are assembled and manipulated in order to improve the understanding and management of complex environmental systems. However, the sheer volumes of data collected, often termed ‘big data’, challenge traditional methods for structuring, manipulating and outputting information for decision makers. Such data is gathered by modern real-time sensors and data loggers, satellite and aerial remote observation platforms, machinery, and simulation outputs such as climate-change modelling applications. The Environmental Data Science course will supply graduates with the practical skills and capabilities necessary to manage and manipulate such ‘big data’ to provide effective information tailored to the management of particular environmental systems.
The objective of the course is to supply students with practical routes to establish and communicate meaningful outcomes from ‘big data’ to the user communities served, using the latest generation of information manipulation and visualisation techniques. The course represents an exciting combination of rigorous academic, technical and practical training, providing a thorough training in the technical, analytical and research skills needed for a career in this expanding field.
Qualification and course duration
Course contact details
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