Business school students in Computer Information Systems (CIS) majors are empowered to meet the demands of Information Technology with both technical skills and business expertise. Competition from other college majors makes recruiting CIS majors in business schools challenging. This research improves the effectiveness of CIS recruitment programs by utilizing multinomial logistic regression (MNL) methodology. Data from an online survey with 145 respondents was analyzed to explore the factors that influence a student's choice of major, when the student chooses a major, and when a career field is chosen. Guided by Theory of Planned Behavior, the results of this research suggest that student's attitude, subjective norms, and perceived behavioral control each influence the choice of major, and when the college major and career field are chosen. Effective CIS recruitment strategies are developed and presented based on the insights obtained from this study. Limitations and future research are also provided.