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课程名称:伦敦大学玛丽女王学院应用统计学硕士课程
课程类型:硕士课程-数学 / 统计 / 精算硕士
学校名称:伦敦大学玛丽皇后学院 Queen Mary, University of London
学校位置:伦敦
课程长度:1年
开学日期:9月
 

介绍:

入学要求 Requirement:

学术要求: he normal entry requirement for the MSc in applied statistics is a British first or good upper second class Honours degree in a subject with a strong numerical component: for example, mathematics, statistics, biology, economics, computer science or engineering.

英语要求:IELTS 6.5 or TOEFL 92

学费 Tuition Fee:2012/2013     £13,925

 
课程特征 Course Features:

The MSc in Applied Statistics aims to provide you with a thorough grounding in important areas of statistics and to prepare you to apply this knowledge to real world problems. This will open up many opportunities for future employment. For example, supporting biological or pharmaceutical research in industry. The programme covers every stage of the process of providing statistical advice to researchers. As well as helping you design experiments and analyse data, you will also learn about the practical aspects of consultation and report presentation.

 
课程内容 Course Content :

The study programme consists of eight compulsory modules split evenly between two semesters, with one such module typically comprising 24 hours of lectures and 12 hours of tutorials given during a twelve-week semester. During the summer period, supervised by an academic member of staff, you are required to complete a dissertation. You will also be offered a two-week presessional course whose aim is to introduce students without statistical background to the necessary statistical concepts. Areas covered include linear and generalised linear and multilevel models, multivariate statistics, statistical computing and the principles of statistical design of experiments.

 
教学与评估 Teaching and Assessment:

Examinations are held between May and early June on the modules taken. Dissertations are evaluated in September. Successful completion of the MSc programme will result in the award of the degree of MSc in Applied Statistics (possibly with Merit or with Distinction).
 
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