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Courses / Modules / ENVS6034 Advanced Quantitative Methods

Advanced Quantitative Methods

When you'll study it
Semester 2
CATS points
ECTS points
Level 7
Module lead
Patrick Osborne
Academic year

Module overview

We are now in the era of “big data”. In the environmental context, this usually means messy and complex datasets that don't follow the rules of traditional statistical techniques and yet have the potential to shed light on the challenges faced by environmental managers. Statistical learning provides a useful tool set for exploring and uncovering the stories that these datasets can tell. This module will cover the background to statistical learning and its relationship to machine learning, as well as teaching you how to handle complex environmental datasets efficiently in order to visualise, explore and model the underlying processes.

MSc students are expected to have successfully completed a statistics course at undergraduate level

Linked modules

Pre-requisite: ENVS1005

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