The MSc in Statistics with Applications in Medicine, taught by one of the largest and strongest Statistics groups in the UK, will provide you with a sound Masters-level training in Statistical methodology, with an emphasis on practical problems arising in the context of collecting and analysing Medical data. Several modules are delivered by Medical Statisticians, who can provide data and case studies from their own day to day work at Southampton General Hospital and the Medical Research Council Lifecourse Epidemiology Unit.
While studying for your degree, you will develop key transferrable skills, such as written and oral communication, the use of and some programming in Statistical software, time management, and basic research skills.
Most lecture courses (or units) consist of twenty-four or twelve 45 minute lectures. Some lecture courses are supported by supervised practical sessions. Students are required to attend all of the compulsory units unless evidence is provided that a satisfactory level has already been attained in the subject. In this case, an additional unit may be substituted with the approval of the Course Director. Students may attend, and be assessed in, more than the required number of optional units. Final assessment will be based on the compulsory units and the best optional units.
Modules: Bayesian methods; Biological assay; Clinical trials; Computer-intensive statistical methods; Design and analysis of experiments; Epidemiological methods; Generalised linear models; Measurement errors; Medical statistics seminars; Modelling longitudinal data; Multi-level modelling; Multivariate analysis; Research skills, strategy and design; Statistical computing; Statistical genetics; Survival analysis; Univariate theory and inference
Plus: Dissertation (MSc only) as a three-month project
The usual entry requirement is at least a second-class honours degree from a recognised university involving units in both mathematics and statistics. Each application is considered on its individual merits. Motivation and relevant postgraduate experience in a statistical environment are important factors that are taken into account. Other qualifications can be considered in special situations and, in these cases, candidates should send full details of their training in mathematics and statistics with their application.
Although students are assumed to have a background in mathematics, including basic theoretical statistics, or to be competent mathematicians with a motivation to train as statisticians, the course is designed to meet the varying needs of students who have previously studied statistics as a minor subject with some other discipline. This flexibility is achieved through the use of optional units that may be combined in various ways with the mainstream compulsory units.
The following texts give an indication of the level of background statistics expected for most candidates:
Introduction to the Theory of Statistics, A M Mood, F A Graybill and D C Boes, McGraw-Hill (1974)
or Introduction to Mathematical Statistics, R V Hogg and A T Craig Macmillan (1978)
In special cases the course may be taken over two years by combining units from the Postgraduate Certificate and the Diploma/MSc course.
No work experience is required.
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