Photos of university / #uni_southampton
This advanced programme in applied statistics, provided by statisticians from all three Faculties in the University, and the MRC Epidemiology Resource Centre, provides a broad grounding in advanced statistical methods, with a focus on applications in research, the NHS and the pharmaceutical industry. We have close connections with many pharmaceutical companies and medical research organisations. The programme structure also allows mathematicians with some statistical experience to move into this field.
* to give students knowledge of applied statistical theory and methods at an advanced level;
* to train students for careers as applied statisticians, particularly in areas related to medicine;
* to enable students to develop oral and written communication skills;
* to give students experience of applications of statistical methods.
Learning and Assessment Objectives:
By the end of the course the students should be able to demonstrate
* knowledge and understanding of statistical theory;
* knowledge and understanding of the application of statistical methods to practical problems;
* the ability to carry out and interpret statistical analyses;
* the ability to write a statistical report on a data analysis topic;
* the ability to discuss and communicate statistical ideas orally and in written form;
* the ability to program in SAS and S-Plus to analyse small data sets
* the ability to use IT as a medium of communication;
Students who progress to the MSc stage of the course should also be able to demonstrate:
* an in-depth knowledge and understanding of an individually researched topic studied as the main project;
* skill in organising their research work and in presenting their findings by the production of a substantial dissertation on their chosen project topic.
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
Approved by GlaxoSmithKline and Pfizer for MSc studentships; other studentships possible; international students are eligible for a School bursary of £1,000 per annum (paid quarterly for maintenance), with higher payments considered on academic merit.