|Tuition fee:|| |
|Start date:||September 2015|
|Credits (ECTS):||60 ECTS|
|Duration full-time:||12 months|
|Delivery mode:||On Campus|
|Educational variant:||Part-time, Full-time|
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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
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.
|TOEFL paper-based test score :||580|
|TOEFL iBT® test:||92|
IMPORTANT NOTE: Per 6 April 2015 only the English language tests from IELTS and Trinity College London are accepted for Tier 4 Visa applications to the United Kingdom. Other tests (including TOEFL, TOEIC, Pearson, City & Guilds) are no longer accepted for Tier 4 visa applications to the United Kingdom. The university might still accept these tests to admit you to the university, but if you require a Tier 4 visa to enter the UK and begin your degree programme, these tests will not be sufficient to obtain your Visa. Since the Trinity College London language tests must be taken in one of their exam centres in the UK, IELTS is now the only language test accepted for Tier 4 visas to the UK that can be taken worldwide.
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