入学要求 Requirement：
学术要求：Entry Requirements
•Undergraduate Degree Subject Good first degree (minimum 2.1 or equivalent) in Mathematics, Statistics, Operational Research or a related subject at bachelor level.
英语要求：Students for whom English is a foreign language
International applicants are required to provide evidence of proficiency in the English language (if English is not their first language).
Preferred qualifications are:
•IELTS Minimum score of 6.5 with a minimum of 6.0 in each component
•TOEFL Minimum score of 580 (paper based test), 230 (computer based test) or 92 (internet based test)
•Pearsons Test of English (PTE) Minimum score of 62 with no less than 47 in each component
•GCSE or GCE Ordinary Level English Language at grade C or above
Applicants who have previously studied in the English language may not be required to provide evidence of English language ability.
学费 Tuition Fee：Fees And Funding
Tuition Fees 2011/12
•UK/EU £4,500
•International £11,200
Funding
•International (ISF) Scholarships, which cover up to 50% of tuition fees, available for excellently qualified international students.
课程特征 Course Features
Overview
This new course is available for 2011 entry
Why take this course?
Statistics is an exciting subject with a rapidly increasing uptake in industry, commerce, government and academia. More and more professions, from the everyday to the exotic, depend on data and numerical reasoning. Data are not just numbers, but numbers that carry information about a specific setting and need to be interpreted within that setting. With the growth in the use of data comes a growing demand for the services of statisticians, although, as stated by the Royal Statistical Society, there is a lack of statisticians across all areas of applications in the UK and internationally. The need is especially pronounced in the finance, insurance and pharmaceutical industries. To help meet the demand for well trained statisticians, the School of Computing Sciences, in close collaboration with the School of Medicine and the School of Economics, offers a 1-year MSc in Statistics. Students will have the ability to choose specialist pathways out of medical, finance/insurance or knowledge discovery. The programme will prepare you for employment across a range of industries and for further education through a PhD in order to pursue a career in industrial or academic research.
Contact time
Students have on average 15 hours of contact time per week with teaching staff through lectures, laboratory sessions and seminars, though this may vary depending on module choices. Additionally, students should allocate at least 25 hours per week for study, coursework assignments and projects.
教学与评估 Teaching and Assessment：
Teaching and Assessment
The MSc Statistics is normally a 12-month full-time intensive course but may be studied part-time over 24 months.
The course develops statistical thinking and provides training in the advanced aspects of statistical theory as well as familiarising students with applications of statistics and exposure to practical problems. Particular attention is given to statistical computing, with a core module in the first semester, and exposure to R and SAS statistical programming languages throughout the course. SAS is an industry standard both in pharmaceutical and in the financial services industry. R is a free flexible statistical environment used extensively in academia and in Research and Development.
The course is broadly divided into three parts. The first part is a set of core modules that are taught in the first semester. These include Computational Statistics, Inference, Statistical Modelling and Multivariate Analysis. The second part comprises specialised pathways in either financial statistics, medical statistics or knowledge discovery and takes place in the second semester. This allows students to build on or broaden their existing knowledge. The third part of the course is a three-month research project that is written up in the form of a dissertation. This may be based on a placement in a pharmaceutical or financial/insurance company. Part-time students follow a similar structure, except that the modules are spread over four semesters plus two summers.
其它信息 Other Information：
The School has an excellent record in both post-BSc and post-MSc placements and most of our recent graduates have found jobs.
SAS actively supports this new MSc in Statistics degree and is delighted that the University of East Anglia is expanding its portfolio of statistics courses. The University of East Anglia's reputation for research excellence means that SAS customers in the financial services and pharmaceutical industries will know where to look for their recruitment needs.