Statistical Ecology (PGDip and MSc)

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

Entry requirements

The qualifications listed are indicative minimum requirements for entry. Some academic Schools will ask applicants to achieve significantly higher marks than the minimum. Obtaining the listed entry requirements will not guarantee you a place, as the University considers all aspects of every application including, where applicable, the writing sample, personal statement, and supporting documents.

Application requirements

• a one-page personal statement directly addressing entry requirements and including relevance of previous degree or experience along with details of your interests in statistical analysis
• a CV with a history of your education and employment to date
• academic transcripts and degree certificates
• two original signed academic or professional references, ideally one academic reference, and a professional reference if experience is to be considered

For more guidance, see supporting documents and references for postgraduate taught programmes.

English language proficiency

If English is not your first language, you may need to provide an English language test score to evidence your English language ability. See approved English language tests and scores for this course.

After your degree

Careers

Statistical skills are highly valued in ecology and conservation, with modern ecological methods becoming increasingly quantitative. The course is therefore excellent preparation for a career as a scientist in: 

• government environment agencies 
• industry 
• consultancies 
• wildlife, conservation, and environmental organisations

The Careers Centre offers one-to-one advice to all students as well as a programme of events to assist students in building their employability skills.

Further study

The MSc in Statistical Ecology prepares students for a PhD in quantitative ecology, conservation, or statistics applied to ecological problems. 

The MSc is taught by members of the world-leading Centre for Research into Ecological and Environmental Modelling (CREEM), and graduates may continue their education by enrolling for a PhD within CREEM or within statistics, biology, wildlife, ecology, or conservation departments in St Andrews or worldwide.