Business Data Mining, Graduate Certificate
Acquire business analytics and data science skills
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):
- BAN 5511 Web Analytics and Digital Marketing
- BAN 5521 Geographical Information System (GIS) Applications in Marketing
- BAN 5551 Optimization Applications in Marketing
- BAN 5561 Customer Lifetime Value Applications in Marketing
- BAN 5563: Strategic Marketing and Business Analytics
- BAN 5753: Advanced Business Analytics
- BAN 5763: Advanced Marketing Research Analytics
- MKTG 5243: Base SAS® Programming
- MKTG 5253: Advanced SAS® Programming
- MSIS 5633: Business Intelligence, Tools and Techniques
- 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.
