As student enrollment has taken a center place in higher education, faculty and administrators are concerned about student retention and success in traditional face-to-face, online and blended courses. This presentation will explore the implications of data mining for predicting relationships between information contained within a learning management system for mastery of accreditation standards and the final grade in selected courses in a counselor training program. Implications of predicting grades in online and hybrid courses for graduate programs in counselor training programs involve compliance with accreditation standards. The standards and course objectives can be imbedded within assignments and placed within a learning management system. By examining student progress within the learning management system faculty in counseling programs can better track student performance.