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
