Course description
This unique Masters in Applied Statistics in Health Sciences provides an opening to a career as an applied statistician, without having previously studied statistics.
The course is run in collaboration with the Animal and Plant Health Agency (APHA), an Executive Agency of the Department for Environment, Food & Rural Affairs (Defra). Statisticians from APHA, as well as those who have extensive experience in working with the National Health Service in Scotland, will provide lectures based around real-life problems and data from the health sciences.
Although the programme is focused on health, the skill set provided will also equip you with the necessary training to work as an applied statistician in other areas such as insurance, finance and commerce.
Subjects
Applied statistics, Health science, Mathematics, Medicine (general and para-medical), Science, StatisticsEntry requirements
Minimum second class honours degree or international equivalent; mathematical training to A Level or equivalent standard. Prospective students with relevant experience or appropriate professional qualifications are also welcome to apply. For Australia and Canada, normal degrees in relevant disciplines are accepted. Applicants are required to have some prior mathematical knowledge, for e.g. A level or equivalent in; calculus; linear algebra; differential equations. You must have an English language minimum score of IELTS 6.0 (with no component below 5.5).
Course options
Course Type: Online
Details
Venue details
McCance Building
16 Richmond Street
Glasgow
Course Type: Online
Details
Venue details
McCance Building
16 Richmond Street
Glasgow
Course Type: Online
Details
Venue details
McCance Building
16 Richmond Street
Glasgow
Course Type: Online
Details
Venue details
McCance Building
16 Richmond Street
Glasgow
Course provider
University of Strathclyde
McCance Building
16 Richmond Street
Glasgow
UCAS terms of use
Course data is provided by UCAS (see their terms of use) and is offered "as is." SDS disclaims all warranties and liabilities related to the data's accuracy to the fullest extent permitted by law."