波士頓大學(xué)統(tǒng)計實務(wù)

The Master of Science in Statistical Practice is designed for students who want to acquire fundamental training in statistics and how it is applied in fields like economics, education, law, management, science, and social science, to real-world problems. It is suitable for students with backgrounds in fields like biology, bioinformatics, economics, management, neuroscience, psychology, and various areas of engineering.
In order to complete the Master of Science in Statistical Practice, students must successfully complete eight one-semester courses. There is no foreign language requirement for this degree.

1、Statistics Practicum 1

2、Statistics Practicum 2

3、Applied Multiple Regression & Multivariable Methods

4、Advanced Topics in Applied Statistical Analysis

5、Accelerated Introduction to Statistical Methods for Quantitative Research

6、Statistical Analysis of Point Process Data

7、Stochastic Methods of Operations Research

8、Linear Models

9、Generalized Linear Models

10、Mathematics of Financial Derivatives

11、Bayesian Statistics

12、Probability

1、統(tǒng)計實習(xí)1

2、統(tǒng)計實習(xí)2

3、多元回歸和多變量方法應(yīng)用

4、應(yīng)用統(tǒng)計分析高級主題

5、定量研究的統(tǒng)計方法介紹

6、點過程數(shù)據(jù)的統(tǒng)計分析

7、運籌學(xué)隨機方法

8、線性模型

9、廣義線性模型

10、金融衍生品數(shù)學(xué)

11、貝葉斯統(tǒng)計

12、概率