
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
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Applied Statistical Modelling using GLMs
- Software for Data Analysis
- Modelling Wildlife Population Dynamics
- Estimating Animal Abundance and Biodiversity
- Population Biology
Check out the full curriculum
Visit programme websiteKey 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 142 other Masters in Mathematics in United KingdomExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
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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
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University of St Andrews and/or in United Kingdom, please visit Student Insurance Portal.
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
25900 GBP/yearTuition FeeBased on the tuition of 25900 GBP per year during 12 months. -
National
12030 GBP/yearTuition FeeBased on the tuition of 12030 GBP per year during 12 months.
Living costs for St Andrews
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Check for any work restrictions
Visit programme websiteIn order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
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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