Program Description

The Graduate Certificate program in Data Mining is a one-year program designed to give students a comprehensive training in basic foundation, advanced knowledge and applications of Data Mining. It's suitable for students in diverse disciplines who want to extend their knowledge and skills. The program is provided through CMU's Department of Statistics, Actuarial and Data Sciences.  The Graduate Certificate program includes courses from Mathematics, Computer Science and Geographic Information Sciences

Research and Publication Opportunities or Assistantships

The department offers graduate teaching assistantships to graduate students. Teaching assistantships are determined by the graduate committee based on students' academic credential and previous teaching performance.

Students are also encouraged to make a poster presentation at the annual university student exhibition. Outstanding projects are recommended for poster competition organized by SAS Inc. Some of the student projects may also be recommended for conference presentations or for journal publications. 

Admission Requirements

Admission to the Data Mining certificate program requires:

  • a bachelor's degree or equivalent from an accredited university;
  • a minimum undergraduate GPA of 3.0;
  • a minimum of three credits of statistics; and
  • general GRE scores.

The application deadline for admission and financial aid is Feb. 15. Apply online at

Graduation Requirements

The graduate certificate program requires a total of 15-18 credit hours of course work, from 5-6 completed courses.

Program Details

Visit our website for details.

Department of Statistics, Actuarial and Sciences

Visit our Department Website for information on all department programs.

Career Outlook

For More Information

Felix Famoye
Graduate coordinator
Pearce Hall 132

(989) 774-5497

Program Director
Dr. Carl Lee, Chair, Department of Statistics, Actuarial and Data Sciences
Pearce Hall 105

(989) 774-7464