Statistical Ecology

Entry requirements

• A good 2.1 undergraduate Honours degree (or international equivalent) in a relevant discipline (e.g. biological sciences, ecology, mathematics, statistics, environmental science or computer science) or a 2.2 in a relevant discipline and equivalent work experience (for example, at least 12 months working in a relevant field).
• You should also have undergraduate training in mathematics and statistics at SCQF Level 8, or equivalent experience.

Months of entry

September

Course content

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, to give you the skills to use these methods effectively, and to give you 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, using 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.

Teaching format

The course consists of two semesters of taught courses followed by a dissertation undertaken over the summer months.

Modules and course material are taught through:

• lectures
• one-to-one discussion
• seminars
• small group discussion tutorials

You may be assessed on your knowledge and understanding of the course through:

• examinations
• coursework
• class tests
• presentations
• research essays
• research project.

Fees and funding

There are a variety of funding options available for postgraduate students. For more details visit our website.