Overview
During the Statistical Ecology programme at the University of St Andrews you will gain 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.
Key facts
- Learn key statistical concepts and methods used in statistical ecology
- Work with staff at the Centre for Research into Ecological and Environmental Modelling (CREEM), who have more than two decades of experience developing, applying and teaching methods in statistical ecology
- Gain a solid statistical foundation before taking specialist modules later in the course
- Have the option of a placement with partners in the UK and abroad as part of a supervised summer research dissertation
- Choose from flexible dissertation formats, which can include producing a podcast, web page, field report, training materials, or a short film
Careers
Statistical skills are highly valued in ecology and conservation. The course is excellent preparation for a career as a scientist in:- government environment agencies
- industry
- consultancies
- wildlife, conservation, and environmental organisations
Programme Structure
Courses include:
- Applied Statistical Modelling using GLMs
- Software for Data Analysis
- Modelling Wildlife Population Dynamics
- Estimating Animal Abundance and Biodiversity
- Population Biology
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Campus Location
- St Andrews, United Kingdom
Disciplines
Mathematics Statistics Ecology View 133 other Masters in Statistics in United KingdomWhat students do after studying
Academic requirements
English requirements
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- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- A 2:1 undergraduate Honours degree in a STEM subject or equivalent professional experience.
- Demonstrable interest or experience in statistical data analysis in an academic or professional setting.
- English language proficiency.
- 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
Tuition Fees
-
International Applies to you
Applies to youNon-residents25900 GBP / year≈ 25900 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents12030 GBP / year≈ 12030 GBP / year
Living costs
Saint Andrews
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Statistical Ecology.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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