我想申的这个学校统计的master项目有两个,一个是Statistics Computing
Master,一个是旗下的Data Mining track。完全不懂这两个有啥区别。为了将来好找
工作我应该申请哪一个啊?哪个学的课程更实用?
感觉data mining方向必修课就是多了一门data mining 1和一门data mining 2,
而且选修课规定的比较死;然后Statistics Computing的必修课没有这个,选修课很灵
活。data mining是不是学的深一些?
真心请求搞统计的大哥大姐们帮我分析分析啊!我到底该选哪个啊?申请15号就截止了
,我还啥也不懂,唉。
附:Statistics Computing和Data Mining的课程列表。
Statistics Computing:
Required Courses—21 Credit Hours
Experimental Design
Statistical Computing I
Regression Analysis
Theoretical Statistics I
Theoretical Statistics II
Statistical Applications of Matrix Algebra
Select one of the following courses:
Linear Models
Multivariate Statistical Methods
Elective Courses—15 Credit Hours
关于选修课的描述大意是跟adviser商量。
Data Mining:
Required Courses—24 Credit Hours
Theoretical Statistics I
Theoretical Statistics II
Advanced Computer Processing of Statistical Data
Data Preparation
Regression Analysis
Logistic Regression
Data Mining I
Data Mining II
Restricted Elective Courses—12 Credit Hours
Data Base Systems
Experimental Design
Categorical Data Methods
Stochastic Processes and Applied Probability
Statistical Computing I
Sampling Theory and Applications
Nonlinear Regression
Nonparametric Statistics
Multivariate Statistical Methods
Applied Time Series Analysis
Data Mining III