An intensive introductory module prepares students for the programme at the start of Semester 1. The programme includes a streamlined taught component, comprising compulsory and optional modules (60 credits). Students conduct a year-long research project in a single laboratory (120 credits).
A 2.1 Honours undergraduate degree. You should some have experience in statistical data analysis and some familiarity with methods such as sampling and regression. This might be through one of the following: an advanced secondary school or high school level qualification in statistics or another quantitative scientific subject undergraduate-level modules in a quantitative scientific subject relevant professional experience. Experience in computer programming is useful but is not essential.; Computer Science Mathematics Medicine Public Health Software Engineering Statistics. A CV or résumé. This should include your personal details with a history of your education and employment to date. Personal statement of 500 words One original signed academic reference. Academic transcripts and degree certificates.