Biostatistics

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).

Graduates who only have A-Level Mathematics (at grade A or better), or equivalent, may also be admitted to the programme. However such candidates are required to work through self-study material provided and attend a pre-sessional course on Elementary Mathematics (to be taught in the two weeks preceding the start of the teaching period of semester 1).

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 Biostatistics 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 Statistics MSc programmes benefit from close links lecturers have with industry and non-governmental organisations such as NHS and SEPA.
• Our expertise spans topics including: biostatistics and statistical genetics; environmental statistics; statistical methodology; statistical modelling and the scholarship of learning and teaching in statistics.
• You will develop a thorough grasp of statistical methodology, before going on to apply statistical skills to solve real-life problems.
• 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

Please see the English language requirements and the international page.

Fees and funding

Qualification and course duration

MSc

Further details of qualification

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