MS in Engineering Data Analytics and Statistics
所属信息
基本信息
学费估算
$29,710/semester ($59,420/year)申请截止日期
-
秋季
-
常规
3月1日
-
其他
-
春季
10月1日
申请信息
托福/GRE Code
6929/6929TOEFL要求
90.00
IELTS要求
6.50
成绩单寄送要求
网申上传
成绩单邮寄地址
WashU McKelvey School of Engineering Attention: Graduate Admissions Lopata Hall, Suite 203 1 Brookings Drive, CB 1220 St. Louis, MO 63130
推荐信要求
3
文书要求
Personal Statement
Please upload a Statement of Purpose. Your statement should include previous professional/research experience, current professional/research interests, long-term career goals and how the degree program will help achieve your long-term career goals. Please also include how you became interested in the degree program. The Statement of Purpose should adequately explain these areas, but should not exceed 2 pages. Your statement of purpose should be your original work and ideas of others should be properly cited. Please do not copy examples or templates from the internet or other sources. Please refer to the application instructions for further information.*
Essay
Describe a time when you experienced adversity in your school, work, or research life. How did you overcome the challenge? How did the experience prepare you for graduate school?
Please upload a Statement of Purpose. Your statement should include previous professional/research experience, current professional/research interests, long-term career goals and how the degree program will help achieve your long-term career goals. Please also include how you became interested in the degree program. The Statement of Purpose should adequately explain these areas, but should not exceed 2 pages. Your statement of purpose should be your original work and ideas of others should be properly cited. Please do not copy examples or templates from the internet or other sources. Please refer to the application instructions for further information.*
Essay
Describe a time when you experienced adversity in your school, work, or research life. How did you overcome the challenge? How did the experience prepare you for graduate school?
Prerequisite
it is recommended that students take the following upper-level courses:
Calculus Sequence and Differential Equations
Probability and Statistics
Matrix Algebra
Introductory Computer Science
More advanced topics in Computer Science such as Data Structures are also helpful, but may be added after admission to the program.
Knowledge of a scientific or quantitative social science field is encouraged but not necessary for success in the program.
Calculus Sequence and Differential Equations
Probability and Statistics
Matrix Algebra
Introductory Computer Science
More advanced topics in Computer Science such as Data Structures are also helpful, but may be added after admission to the program.
Knowledge of a scientific or quantitative social science field is encouraged but not necessary for success in the program.