Because of increased competition for funds, educational leaders are now recommending use of systematic planning techniques such as Planning-Programming-Budgeting (PPB). Effective implementation of such a procedure calls for a data base of enrollment of students in a program, retention rates, and costs per instructional hour. The intent of this report is to indicate how mathematical modeling procedures are used in the development of enrollment predictions in North Carolina community colleges. Three general methods used in enrollment projection are extrapolation, structural models, and Markov models. An evaluation of mathematical models for estimating enrollment in community college curricula is offered. Such mathematical models as CC Flow I and CC Flow II are discussed in detail and their four expected uses are presented. (CA)