Module Catalogues

Advanced Statistics for Environmental Scientists

Module Title Advanced Statistics for Environmental Scientists
Module Level Level 2
Module Credits 5.00

Aims and Fit of Module

The aim of this module is to guide students in the theory and techniques of statistical data analysis in Environmental Sciences. Students learn how to apply and present statistical analyses such as: analysis of variance, Bayesian statistics, clustering, and regression analysis using various datasets.

Learning outcomes

A. Explain key statistical process concepts, and assess their applications in Environmental Sciences.

B. Develop and interpret statistical models to analyze environmental data using modern statistical software.

C. Design and deliver effective presentations that include statistical results via appropriate graphs and tables.

D. Evaluate the utilization of modern technologies, such as Generative Artificial Intelligence, in statistical analysis processes and presentations.

Method of teaching and learning

The module is delivered through a series of lectures and practical. The lectures provide statistical theories and case studies from different research areas in Environmental Sciences. The practical’s involve students in problem-oriented exercises, group work on case studies, discussions, and presentations. Students apply the knowledge learnt in the lectures and practical to the assignments. Feedback will be provided to students afterwards to improve their understanding in the use of statistical theories in Environmental Sciences.