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In the Graduate Certificate in Applied Statistics and Data Management, students will learn statistical methods and how to apply them in real world settings and about statistical programming techniques that are required for managing data in a typical workplace environment.

Admissions

The application process is very simple, there are no official prerequisites except for an undergraduate degree. Applicants should demonstrate an appropriate level of mathematical maturity to allow them to succeed in the certificate program. Examples of this would include successful completion of undergraduate coursework or professional work in a quantitative field. Note that the GRE is not required to apply and we only accept students living in North America.

Plan Requirements

Course List

Code	Title	Hours	Counts towards
Required Courses		12
³§°ÕÌý555	Statistical Programming I
³§°ÕÌý556	Statistical Programming II
´Ç°ùÌý³§°ÕÌý558	Data Science for Statisticians
³§°ÕÌý511	Statistical Methods For Researchers I *
´Ç°ùÌý³§°ÕÌý513	Statistics for Management and Social Sciences I
³§°ÕÌý512	Statistical Methods For Researchers II *
´Ç°ùÌý³§°ÕÌý514	Statistics For Management and Social Sciences II
Total Hours		12

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*

The course sequence ³§°ÕÌý511 and ³§°ÕÌý512 is similar to that of ³§°ÕÌý513 and ³§°ÕÌý514.  The main difference is that ³§°ÕÌý511 and ³§°ÕÌý512 focus more heavily on analysis of designed experiments, where ³§°ÕÌý513 and ³§°ÕÌý514 focus more heavily on the analysis of observational data.

• The certificate will be earned by successful completion of four courses listed above with an average GPA of at least 3.0.