|Person-in-Charge||Colin J. Neill|
The goal of this graduate certificate program is to prepare students to apply data analytics techniques to large data sets to support data-driven decisions across application domains.
Effective Semester: Spring 2015
Expiration Semester: Fall 2019
Applicants apply for admission to the program via the Graduate School application for admission. Requirements listed here are in addition to Graduate Council policies listed under GCAC-300 General Admissions Standards. International applicants may be required to satisfy an English proficiency requirement; see GCAC-305 Admission Requirements for International Students for more information.
Applicants with an undergraduate degree in a quantitative discipline such as science, engineering, or business may apply. Students from other disciplines will be considered based on prior course work. Applicants are generally expected to have a minimum combined junior/senior grade-point average of 3.0 (B) on a 4.0 scale.
Requirements listed here are in addition to requirements listed in Graduate Council policy GCAC-212 Postbaccalaureate Credit Certificate Programs.
To be awarded the Graduate Certificate in Data Analytics, students must successfully complete 15 credits of course work. All courses must be completed with a grade of C or better and a grade-point average of 3.0 to be awarded the certificate.
|STAT 500||Applied Statistics||3|
|or BUSAD 501||Statistical Analysis for Managerial Decision Making|
|DAAN 871||Data Visualization||3|
|BAN 530||Business Strategies for Data Analytics||3|
|INSC 525||Applied Data Mining||3|
|Select one of the following:||3|
|Data-Driven Decision Making|
|Data Collection and Cleaning|
Graduate courses carry numbers from 500 to 699 and 800 to 899. Advanced undergraduate courses numbered between 400 and 499 may be used to meet some graduate degree requirements when taken by graduate students. Courses below the 400 level may not. A graduate student may register for or audit these courses in order to make up deficiencies or to fill in gaps in previous education but not to meet requirements for an advanced degree.