An admissions/enrollment model was developed using 5 years of data on undergraduate and graduate enrollment, admissions, budget and tuition revenues, and anticipated tuition costs. The model produced estimates of admissions and enrollment numbers required to meet projected increases in the institutional budget. Using a variation of the Markov Model, the model was developed with Lotus Symphony. A menu-driven spreadsheet program was used to develop transitional probabilities. After calculating the projected graduate/undergraduate tuition revenues required in each semester to meet the projected education and general budget and tuition revenue increases, the headcount and full-time equivalent undergraduate and graduate enrollments required to meet these revenue requirements were calculated. The enrollment projections were obtained using full-time and part-time enrollment ratios, projected tuition costs, and the average number of credit hours taken by part-time students. The accuracy of predicting the overall graduate/undergraduate enrollment was within 2%; the enrollment by year in school averaged 4% and was not larger than 10%; and the number of admissions applications, acceptances, and deposits averaged 5%. (SW)