Employer University of St. Andrews Job Description, Responsibilities and Required Qualifications or Skills The MSc aims to give students:a sound understanding of the statistical foundations of modern methods in statistical ecologythe knowledge and skills to use these methods effectivelyexperience of applying them to real-world problems, under the supervision of experts, some of whom are leading researchers in this fieldThe Programme involves two semesters of taught courses and a 3-month summer research dissertation. It is taught by staff at the interdisciplinary Centre for Research into Ecological and Environmental Modelling (https://www.creem.st-andrews.ac.uk/). The summer dissertation includes optional placements with collaborators in the UK or abroad, to give students experience of dealing with real-world problems in statistical ecology.The PGDip and 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 statistical concepts and methods used 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. On this pageOverviewEntry requirementsCourse detailsEventsFeesAfter your degreeContactApplication deadline Thursday 7 August 2025 Applicants should apply as early as possible to be eligible for certain scholarships.“The best part of studying here is the location of St Andrews; the beaches, historical monuments and great walks everywhere. It is a very demanding course and especially requires you to do a lot of maths – help is available but you must be willing to work for it.”Jeevan- Khotang, NepalEntry requirementsA 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. SeeEnglish language tests and qualifications. 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 requirementsa one-page personal statement directly addressing entry requirements and including relevance of previous degree or experience along with details of your interests in statistical analysisa CV with a history of your education and employment to dateacademic transcripts and degree certificatestwo original signed academic or professional references, ideally one academic reference, and a professional reference if experience is to be considered Job Field: Other Job Type: Assistantship Location Detail: St. Andrews, UK Application Deadline: Thu, 08/07/2025 - 12:00pm Link to Full Job Posting: https://www.st-andrews.ac.uk/subjects/statistics/statistical-ecology-msc/
