Minimum Total for Graduation: 15-18 hours
The Data Mining Certificate Program is a one-year certificate program. It is designed to give each student a comprehensive training of basic foundation, advanced knowledge and applications of data mining. The primary goal is to develop a high quality program and a creative learning environment that enables students to acquire advanced data mining knowledge and experience in real-world applications, team work and presentations that are essential in the workplace.
Admission Requirements for Data Mining:
- Hold at least a four year undergraduate degree or equivalent degree from a college or university or recognized standing and meet the requirements for regular admission to the College of Graduate Studies
- Overall undergraduate GPA of 3.0 or higher
- Minimum of 3 semester hours of statistics with a GPA of 3.0 or higher
- Minimum TOEFL for International Students: See the Page:
Information for Prospective Graduate Students.
View the Graduate Program Bulletin for the Graduate Certificate Program in Data Mining HERE
For additional information on the Data Mining Certificate program, contact:
Dr. Carl Lee
Department of Mathematics
Pearce Hall 109