入学要求 Requirement：
学术要求：BSc (or equivalent) in a subject containing a substantial mathematical or statistical component, usually at level 2.1 or above (or equivalent).
英语要求：A minimum IELTS score of 6.0 with not less than 5.5 in listening and reading, and not less than 5.0 in speaking and writing.
学费 Tuition Fee：2011/2012 ￡13,700
课程特征 Course Features：
The aim of this programme is to provide a solid training in mainstream advanced statistical modelling and to expose students to modern developments in Statistics. It is flexible in allowing the student to take a broad range of options, including modules within financial mathematics, statistical bioinformatics, and probability. On completion of the course students should be able to undertake data analysis for a wide variety of statistical problems, have learned key programming skills, both in data analysis and mathematical typesetting, and have learned to express mathematical concepts and statistical analysis in both written and verbal form. They should be equipped as a statistician for a range of careers in industry, commerce and the public sector or to embark on a programme of research as a research student.
The MSc is accredited by the Royal Statistical Society. Completion of the programme will qualify students for the status of ?Graduate Statistician? - the first stage towards Chartered Statistician status.
课程内容 Course Content ：
Semester One
Statistical Computing (compulsory)
An introduction to methods of statistical computing. Essential for the applied statistician, with an emphasis on sampling-based methods, such as Markov chain Monte Carlo.
Optional Modules
•Multivariate and Cluster Analysis
•Statistics and DNA
•Linear Regression and Robustness and Smoothing
•Stochastic Financial Modelling
•Discrete Time Finance
•Core Epidemiology
•Advanced Epidemiology
Semester Two
Independent Learning Skills (compulsory)
An introduction to research methods including literature search, writing styles, mathematical typesetting and programming skills.
Optional Modules
•Statistical Theory
•Times Series and Spectral Analysis
•Generalised Linear and Additive Models
•Continuous Time Finance
•Risk Management
•Hidden Markov Models
•Multilevel and Latent variable Modelling
•Advanced Modelling
Semester Three
Dissertation in Statistics
A four-month research project undertaken in the Summer on a topic (chosen in conjunction with project supervisors) culminating in a dissertation on that project.
Example Project Topics include:
•Shape Analysis
•Spatial Statistics
•Robustness
•Data Mining
•Wavelets
•Bioinformatics
The taught course is primarily assessed by end-of-semester examinations with a small component of continuous assessment. The Semester Three project is assessed by a written dissertation and a short oral presentation.
职业前景 Career Prospects：
There is a shortage of well-qualified statisticians in the UK and other countries. Numeracy, in general, is an attribute keenly sought after by employers.
The emergence of data mining and analysis means that demand for statisticians is growing across a wide range of professions - actuarial, betting and gaming industries, charitable organizations, commercial, environmental, financial, forensic and police investigation, government, market research, medical and pharmaceutical organisations. The course is designed specifically to meet this demand.
Many statistical careers require people educated to masters degree level. This course is designed to build on existing mathematical skills and deepen knowledge of statistics in order for you to access a variety of professions or pursue further research as a PhD student