波士頓大學(xué)統(tǒng)計學(xué)

The M.A. program in Statistics provides advanced preparation in both the fundamental theory and the practice of statistics. This program prepares students for a position in the fields of education or industry, or for further graduate study leading to a PhD. To enter, students need a bachelor’s degree in mathematics, statistics, or a closely related discipline.
Ordinarily, eight semester courses in our department are required for the M.A. degree. At most two courses may be transferred from another institution; in this case, the courses should correspond to Boston University courses.

1、Linear Models

2、Generalized Linear Models

3、Bayesian Statistics

4、Probability

5、Mathematical Statistics

6、Introduction to Stochastic Processes

7、Multivariate Statistical Analysis

8、Time Series and Forecasting

9、Nonparametric Statistics

10、Computational Statistics

11、Probability Theory I

12、Probability Theory II

13、Advanced Statistical Methods I

14、Advanced Statistical Methods II

1、線性模型

2、廣義線性模型

3、貝葉斯統(tǒng)計

4、概率

5、數(shù)理統(tǒng)計

6、隨機過程介紹

7、多元統(tǒng)計分析

8、時間序列和預(yù)測

9、非參數(shù)統(tǒng)計

10、統(tǒng)計計算

11、高級統(tǒng)計方法I

12、高級統(tǒng)計方法II

13、概率論I

14、概率論II