入学要求 Requirement：
学术要求：At least a second class honours degree, or its equivalent, in a subject with a strong mathematics or statistics component.
英语要求： IELTS 6.5
学费 Tuition Fee：2011/2012 £11,425.00
课程特征 Course Features：
This MSc has a strong theoretical and methodological component to supplement a focus on applications of statistics to real-life scientific problems.You can opt to follow pathways in Medical Statistics, Pharmaceutical Statistics or Environmental Statistics which respectively focus upon problems taken from medical and health research, pharmaceutical development or environmental sciences.
You will follow a set of compulsory modules covering core theory and methods, applied statistical modelling and a practical skills module comprising topics such as statistical computing, scientific writing, presentation and consultancy.You will also study a self-designated programme of optional modules tailored according to your researchinterests and career aspirations. The aim is to develop your analytical and statistical modelling skills and to apply them to address a range of 'real life' problems.
Your studies will be completed by undertaking a supervised in-depth dissertation aimed at solving a substantial research question.
课程内容 Course Content ：
Core Modules
The following modules are taken by all MSc students:
•Bayesian inference (sample notes & sample worksheet)
•Generalised linear models (sample notes)
•Likelihood inference (sample notes)
•Computationally intensive methods (sample notes)
•Statistics in practice (sample notes)
Specialist Modules
In addition to the core modules students will choose a further five modules from those listed below:
•Principles of epidemiology (sample notes )
•Clinical trials (sample notes 1 & sample notes 2 & sample notes 3)
•Genomics - technologies and data analyses
•Extremes (sample notes)
•Longitudinal data analysis (sample slides)
•Survival and event history analysis
•Environmental epidemiology
•Pharmacological modelling
•Adaptive and bayesian methods in clinical research
评估 Assessment：
Combination of coursework, examination and report/dissertation.