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格拉斯哥大学统计学硕士课程
课程类型: 硕士课程
数学 / 统计 / 精算硕士
学校名称: 格拉斯哥大学 University of Glasgow
学校位置: 苏格兰
课程长度: 12个月
开学日期: 10月
格拉斯哥大学 University of Glasgow
www.gla.ac.uk
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入学要求 Requirement:

学术要求:An upper second class Honours degree or equivalent with a substantial mathematics component (at least equivalent to Level-1 courses in mathematics and Level-2 courses in calculus and linear algebra at the University of Glasgow).
 
英语要求: IELTS 6.5 (with no subtest less than 6)

学费 Tuition Fee:2011/2012        £12500

 
课程特征 Course Features:
This Masters in Statistics will provide you with knowledge and experience of the principles, theory and practical skills of statistics.

•You will develop a thorough grasp of statistical methodology, before going on to apply statistical skills to solve real-life problems.
•You will be equipped with the skills needed to begin a career as a professional statistician; previous study of statistics is not required.
•You will be taught by world-leading experts in their fields. The Statistics group at Glasgow is internationally renowned for its research excellence, and has a vibrant community of around 30 postgraduate students. Our research strengths include statistical methodology, biostatistics and environmental statistics.

 
课程内容 Course Content :

Core courses
•Probability
•Statistical inference
•Introduction to R
•Regression models
•Generalised linear models
•Data analysis
•Professional skills
•Data-analysis project (leading to a dissertation).

Optional courses
You will choose five optional courses from
•Multivariate methods
•Biostatistics
•Sampling and databases
•Bayesian statistics (from 2012)
•Introduction to population studies
•Principles of probability and statistics
•Design of statistical investigations
•Time series
•Environmental statistics
•Advanced Bayesian methods (from 2012)
•Statistical genetics
•Spatial statistics
•Meta-analysis.

 
职业前景 Career Prospects:
Our graduates have an excellent track record of gaining employment in many sectors including finance, medical research, the pharmaceutical industry and government statistical services, while others have continued to a PhD.
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