Context: A common goal of professional education programs is to recruit the students best suited for the professional career. Selection of students can be a difficult process, especially if the number of qualified candidates exceeds the number of available positions. The ability to predict academic success in any profession has been a challenging proposition. No studies to date have examined admission predictors of professional master's athletic training programs (PMATP). Objective: The purpose of this study was to identify program applicant characteristics that are most likely to predict academic success within a PMATP. Design: Cohort-based. Setting: University professional PMATP. Patients or Other Participants: A cohort of 119 students who attended a PMATP for at least 1 year. Intervention(s): Common application data from subjects' applications to the university and the PMATP were gathered and used to create the prediction models. Main Outcome Measure(s): Sensitivity, specificity, odds ratio, and relative frequency of success were used to determine the strongest set of predictors. Results: Multiple logistic regression analyses yielded a 3-factor model for prediction of success in the PMATP (undergraduate grade point average = 3.18; Graduate Record Examination quantitative [percentile rank] = 141.5 [=12]; taking calculus as an undergraduate). A student with =2 predictors had an odds ratio of 17.94 and a relative frequency of success of 2.13 for being successful in the PMATP. This model correctly predicted 90.5% of PMATP success. Conclusions: It is possible to predict academic success in a PMATP based on common application data.