Business Intelligence & Predictive Modeling (BIPM):
BIPM is an integrated student/course data system spanning 1980 to the present, encompassing the entire lifecycle of students from recruitment to degree conferral. The primary use of BIPM is to assist university personnel in having data from which to make internal decision-making and planning. In addition to reporting current and historical data trends, BIPM is also used to forecast outcomes and create student, institutional, geographic and course scoring from models to identify at-risk behavior and recruitment opportunities.
Fact Books:
Fact Books are pdf files that contain summary data on productivity, academics and demographics.
For additional fact books, (蹤獲扦 ID & password required).
Enrollment Data
- Enrollment (Fall terms-headcounts, enrolled hours, majors by college)
- Enrollment 蹤獲扦 KBOR Fall Census Headcounts
- Enrollment (Spring terms-headcounts, enrolled hours, majors by college)
- Enrollment (Summer terms-headcounts, enrolled hours, majors by college)
- College Division Major Headcounts (fall, spring, summer)
- College Division Headcounts by Major Code (fall, spring, summer)
Course Data
- Course Level (Fall terms-Student Credit Hours, FTE's, times/days)
- Course Level (Spring terms-Student Credit Hours, FTE's, times/days)
- Course Level (Summer terms-Student Credit Hours, FTE's, times/days)
- Course College Division Departmental Unit Level (Student Credit Hours by department unit, summer-fall-spring)
- Online Courses (Fiscal Year: summer-fall-spring)
Degrees Conferred