Enrollment Management Electronic Newsletter

Defining Optimum Enrollment

Optimum enrollment is the benchmark enrollment figure that indicates revenues and expenditures are in balance. It is a number that falls between the maximum and minimum fiscal/physical capacity. The concept is multidimensional and includes, but is not limited to, the following components:

Optimum Headcount refers to the institution's physical capacity; that is, classroom and laboratory instructional capacity, the number of housing beds, the number of parking spaces, food service seating, library study rooms, and so on.

Optimum Full Time Equivalent (FTE) relates to productivity and resource issues. It is vital in calculating, for example, revenues, faculty-student rations, class size, induced course loads, and faculty-demand cycles.

Optimum Segmentation relates to the distribution of enrollment based on such distinctions as departments and schools; undergraduate and graduate levels; or professional versus liberal arts and sciences.

Optimum Geographic Origin relates to the geographic dispersion of the institution's service area. Generally, the more narrow the geographic service area, the more vulnerable the institution is to local factors, events, and phenomena.

Optimum Quality refers to, for example, the academic ability of students; the skills, characteristics, and expertise of the faculty; or the appropriateness and condition of the academic infrastructure.

Optimum Enrollment is not a static number. It changes with capital improvements, fluctuations in productivity, implementing of instructional delivery alternatives, and a host of other factors. The first Optimum Enrollment benchmark must be built on a foundation of stable resources.

The SEM Enrollment Goal can be calculated by taking the difference between current enrollment and the optimum benchmark.

Optimum Enrollment - Current Enrollment = SEM Enrollment Goal

Achieving the SEM Enrollment Goal has significant fiscal implications.

Stay tuned for our next quarterly edition where the "economic" of SEM will be described.