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Data Mining Graduate Certificate

Acquire business analytics and data science skills

This program is designed to help working professionals who don’t mind doing some coding and who do not want to pursue a full MS degree yet, but want to acquire business analytics or data science skills. Expand your analytics skills by analyzing data with software from major analytics providers like Alteryx, PowerBI, Python, R, SAS, Tableau, and others.

Overview

Working professionals admitted to this program can complete coursework in 12 to 18 months. The program requires taking 12 credit hours, and allows for the courses to be double-counted toward MS in Business Analytics and Data Science degree

 

Coursework

Required courses (6 credit hours):

  • BAN 5733: Descriptive Business Analytics
  • BAN 5743: Predictive Business Analytics

Electives (Select any combination to reach 6 or more credit hours):

  • MKTG 5243: Base SAS® Programming
  • MKTG 5253: Advanced SAS® Programming
  • BAN 5511-5561: Short 1-credit hour courses in Web Analytics, GIS Applications in Marketing Analytics, Marketing Optimization, Customer LTV Models in Analytics
  • BAN 5753: Advanced Business Analytics
  • BAN 5763: Advanced Marketing Research Analytics
  • MSIS 5633: Business Intelligence, Tools and Techniques
  • MSIS 5643: Advanced Data Base Management
  • Other graduate courses as approved by the program director

 

Admissions requirements and deadlines

Applicants must have completed a bachelor’s degree in business, engineering, computer science or other natural science and have the equivalent of at least a 3.0/4.0 undergraduate GPA. 

 

Other students may apply for admission to the program; such applications will be reviewed by the program director, who may recommend admission to the OSU Graduate College.

 

For fall admission, application must be complete by July 1 of the same year.

 

For spring admission, application must be complete by December 1 of the prior year.

 

All transcripts from bachelor degree studies as well as a CV/resume must be submitted by the deadline in order to be reviewed for admission. Applications that are incomplete at the deadline will not be reviewed. This application does not require recommendation letters, purpose statement or entrance exams such as the GMAT or GRE.

Data Data Mining

Cost and Assistance

Cost for on-campus enrollment

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