The Projection page is a tool to help administrators project enrollment for future semesters. It gathers statistics for the projection semester as of the current date. It then compares these numbers to the numbers that existed on equivalent dates for the last 3 years, and uses this data to create projections for the coming Report Date. The data on this page is for academic applicants, students, and classes only. The numbers displayed are tallied as of the date in the column heading.
Inquiries | The unduplicated number of applicants and potential applicants 17勛圖 has had contact with as of the date in the column heading. |
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Admission Applications | The number of admission applications 17勛圖 received for a semester by the as-of date in the column heading. |
% Applied | The percent of inquiries who submitted an admission application. Note: Applicants may submit more than one admission application per semester. In the past, the applications the applicant is no longer interested in would be canceled and not counted on the dashboard. If this is not done, however, the %Applied can be greater than 100% because the Inquiries row contains the unduplicated number of inquiries and the Applications row is the total number of applications submitted, that have not been canceled. An application total is used on the Digital Dashboard now, instead of an unduplicated applicant headcount, to balance with the Applications by Program of Study page... |
Admits | The number of applicants admitted academically by the as-of date in the column heading. |
% Admitted | The percent of applicants who have been admitted academically by the as-of date in the column heading. |
Admits Registered | The number of students registered this semester by the as-of date, who submitted an admission application and were admitted this semester. |
%Admits Registered | The percent of admits for the semester who registered for academic classes for the semester by the as-of date in the column heading. |
Prior Admits Registered | The number of people admitted for a previous semester who never registered for academic classes until this semester. |
Retained Students |
The number of students registered for the retention semester and also registered for this semester, by the as-of date. When the projection term is Summer or Fall, the retention semester is Spring. When the projection term is Spring, the retention semester is Fall |
% Retained | The percent of students registered for the retention semester and also registered for the projection semester, by the date indicated. |
Returning Students (now labeled Re-Admitted Students) |
The number of students registered for the semester who:
These students could be stop-outs or students who were registered for Summer and the projection term is Fall. |
Average Credit Hours | Total Credit Hours divided by Total Headcount. |
Average Billing Hours | Total Billing Hours divided by Total Headcount. |
Total Headcount |
The total number of unduplicated students registered for academic classes by the as-of date in the column heading: = Admits Registered + Prior Admits Registered + Retained Students + Returning Students |
Total Credit Hours | Total number of academic credit hours registered for as of the date in the column heading. |
Total Contact Hours | Total number of academic billing hours registered for as of the date in the column heading. |
Tuition | Total amount of academic tuition assessed. |
Important Notes:
Each line item on the Projection page uses two formulas. The first formula is used when the projection semester is further away, we have a limited number of admission applications, and little or no registration data for the semester yet. These formulas generally use a weighted average of prior Report Date numbers. As the projection semester nears, the page switches to a formula which takes the current date data for the projection semester into consideration. This formula may add the amount the line item changed between the equivalent date and Report Date in prior year(s) to the projection semester's current date number or it may use a calculation from a logrithmic trend line.
Monitoring data for trends and knowledge of changes to policies and procedures are important for maintaining useful projections. If you notice a projection that looks unrealistic, please contact the Technology Help Desk at helpdesk@nmc.edu.