新西兰梅西大学Master of Applied Statistics应用统计学硕士课程详解
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时间:2020-08-10

Master of Applied Statistics应用统计学硕士课程

 

学制:  1.5

 

入学时间:  2 月、7   ;雅思要求:6.5/6

 

 

核心课程设置:Part One

 

·         Compulsory courses (30 credits from) 必修课程

·         161.705 Advanced Statistical Inference 15 credits高级统计推断

·         161.770 Statistical Consulting 15 credits统计咨询

·         Elective courses (90 credits from) 选修课程

·         161.704 Bayesian Statistics 15 credits贝叶斯统计学

161.709 Topic in Statistical Theory 15 credits统计理论主题

·         161.725 Statistical Quality Control 15 credits统计质量控制

161.729 Topics in Applied Statistics 15 credits应用统计学的课题

161.743 Statistical Reliability and Survival Analysis 15 credits统计可靠性和生存分析

·         161.744 Statistical Genetics 15 credits统计遗传学

·         247.792 Special Topic 专题研讨15 credits

·         247.793 Special Topic 专题研讨15 credits

Including up to 30 credits from:

161.762 Multivariate Analysis for Big Data 大数据的多元分析15 credits
R
161.323, 161.772

161.777 Practical Data Mining 实用数据挖掘15 credits
R
161.223 and 161.324

Part Two (60 credits from)

161.893 Research Report 研究报告  60 credits

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新西兰梅西大学Master of Applied Statistics应用统计学硕士课程详解
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Master of Applied Statistics应用统计学硕士课程

 

学制:  1.5

 

入学时间:  2 月、7   ;雅思要求:6.5/6

 

 

核心课程设置:Part One

 

·         Compulsory courses (30 credits from) 必修课程

·         161.705 Advanced Statistical Inference 15 credits高级统计推断

·         161.770 Statistical Consulting 15 credits统计咨询

·         Elective courses (90 credits from) 选修课程

·         161.704 Bayesian Statistics 15 credits贝叶斯统计学

161.709 Topic in Statistical Theory 15 credits统计理论主题

·         161.725 Statistical Quality Control 15 credits统计质量控制

161.729 Topics in Applied Statistics 15 credits应用统计学的课题

161.743 Statistical Reliability and Survival Analysis 15 credits统计可靠性和生存分析

·         161.744 Statistical Genetics 15 credits统计遗传学

·         247.792 Special Topic 专题研讨15 credits

·         247.793 Special Topic 专题研讨15 credits

Including up to 30 credits from:

161.762 Multivariate Analysis for Big Data 大数据的多元分析15 credits
R
161.323, 161.772

161.777 Practical Data Mining 实用数据挖掘15 credits
R
161.223 and 161.324

Part Two (60 credits from)

161.893 Research Report 研究报告  60 credits

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