Statistical Ecology

Learn the modern statistical methods currently used by professionals in ecology, including how to formulate problems, conduct appropriate analyses and effectively communicate results to a variety of audiences. To balance theory and application, placement opportunities will be available with partner organisations within the UK and abroad.

The PGDip/MSc in Statistical Ecology is a one-year taught programme run by the School of Mathematics and Statistics.

This course aims to give you a sound understanding of the statistical foundations of modern methods in statistical ecology, the skills to use these methods effectively, and experience of applying them to real-world problems, under the supervision of experts, some of whom are leading researchers in this field.

Highlights
- Introduces key concepts and methods in statistical ecology and provides an overview of the field.

- Taught by staff at the Centre for Research into Ecological and Environmental Modelling (CREEM), who have more than two decades’ experience developing, applying and teaching methods in statistical ecology.

- Core modules in Semester 1 provide a solid statistical foundation for specialist modules later in the course.

- Optional placements with collaborators in the UK and abroad as part of a supervised summer research dissertation; connects theoretical training with real field studies and professionals.

- Flexible dissertation format, which can include producing a podcast, web page, poster, field report, training materials, or a short film.