Environmental Statistics

Entry requirements

A first degree equivalent to a UK Upper Second Class Honours degree, normally with a substantial Mathematics component (at least equivalent to Level-1 courses in Mathematics and Level-2 courses in Calculus and Linear Algebra at the University of Glasgow).

International students with academic qualifications below those required should contact our partner institution, Glasgow International College, who offer a range of pre-Masters courses.

Months of entry

September

Course content

This Masters in Environmental Statistics will provide you with knowledge and experience of the principles, theory and practical skills of statistics; previous study of statistics is not required.

• The Statistics Group at Glasgow is a large group, internationally renowned for its research excellence.

• Our expertise spans topics including: biostatistics and statistical genetics; environmental statistics; statistical methodology; statistical modelling and the scholarship of learning and teaching in statistics.

• The research group has strong connections with environmental agencies such as the Scottish Environment Protection Agency (SEPA), the Environment Agency in England and the Centre for Ecology and Hydrology.
• These collaborations have led to research secondments for postgraduate students, and other opportunities have seen students travelling abroad to work with high-profile scientific groups such as the Commonwealth Scientific Industrial Research Organisation in Australia.
• Our Statistics MSc programmes benefit from close links lecturers have with industry and non-governmental organisations such as NHS and SEPA.
• You will be equipped with the skills needed to begin a career as a professional statistician; previous study of statistics is not required.

Information for international students

Fees and funding

Qualification and course duration

MSc

Further details of qualification

This Masters in Environmental Statistics will provide you with knowledge and experience of the principles, theory and practical skills of statistics; previous study of statistics is not required.