【斑马博士捷报】新加坡国立大学National University of Singapore(NUS)Master of Science (Statistics) 统计学硕士录取!
恭喜斑马博士客户获得新加坡国立大学National University of Singapore(NUS)Master of Science (Statistics) 统计学硕士录取!

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【案例脉络】

恭喜斑马博士客户获得新加坡国立大学National University of Singapore(NUS)Master of Science (Statistics) 统计学硕士录取!

斑马博士整理了新加坡国立大学National University of Singapore(NUS)Master of Science (Statistics) 统计学硕士的详细的专业解读,供大家参考。

 

offer展示】新加坡国立大学National University of Singapore(NUS)Master of Science (Statistics) 统计学硕士

 

【院校介绍】

新加坡国立大学(National University of Singapore),简称国大(NUS),是环太平洋大学联盟、亚洲大学联盟、全球大学校长论坛、亚太国际教育协会、国际研究型大学联盟、Universitas 21、新工科教育国际联盟、国际应用科技开发协作网等高校联盟的成员,商学院获有AACSB和EQUIS认证。2023 QS世界排名# 11

 

【专业解读】

The Department of Statistics and Data Science at NUS is consistently ranked among the top Statistics departments in the world according to the QS World University Rankings.  Part of our mission is to be a leader in education, and to train statisticians and data science professionals who can bring an understanding of data and evidence-based decision-making to the roles they will fill.  Our MSc graduates find jobs in banking and finance, business and marketing, medical and health sciences, manufacturing and engineering, research and academic institutions, and in many other fields.  Our exciting curriculum equips you both with fundamental knowledge in statistical theory and data science principles, as well as practical knowledge of specialized techniques in a wide range of areas in our elective modules.  The MSc in Statistics is ideal for those looking to further their careers as industry statisticians or data scientists, or wanting a solid foundation for an entry into research.  (摘录自官网)

 

【基本课程模块】

Statistical Foundations of Data Science

Applied Regression Analysis

Analysis of Time Series Data

Sampling from Finite Populations

Statistical Research Project 

 

 

【选修课程模块】

Design of Experiments for Product Design and Process Improvements

Nonparametric Regression

Analytics for Quality Control and Productivity Improvements

Multivariate Data Analysis

Survival Analysis

Categorical Data Analysis II

Advanced Statistical Methods in Finance

Probability and Stochastic Processes

Statistical Analysis of Networks

Spatial Statistics

Applied Data Mining 

 

 

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