This study explored the differences between career decision-making self-efficacy (CDMSE) and perceived career barriers of students enrolled in the applied technology program compared to those enrolled in a college transfer program at a southeastern urban community college. Participants in the ex-post facto cross-sectional survey included 787 full and part-time students at the community college. There were three research questions: (1) Are there differences in mean scores of CDMSE and perceived career barriers of applied technology and college transfer community college students pursuing associate degree, diploma or certificate programs by demographic characteristics (gender, ethnicity, age, first-generational, employment, full and part-time student status)? (2) What is the predictive value of these demographic variables on CDMSE and perceived career barriers of applied technology and college transfer community college students pursuing associate degree, diploma or certificate programs? (3) Is there a relationship between CDMSE and perceived career barriers of applied technology and college transfer community college students pursuing associate degree, diploma or certificate programs? The Career Decision Self-Efficacy-Short Form and Career Barriers Inventory-Revised were administered to participants and data were analyzed using two sample t-tests, ANOVA and multiple regression models. There were significant differences between applied technology and college transfer students in terms of perception of career barriers and career decision-making self-efficacy. The applied technology students, who tended to be older, had higher career decision-making self-efficacy scores than the college transfer students and that did not change across the other demographic variables (gender, etc). The college transfer students, who tended to be younger, had higher perception of career barriers scores, and this did not change across demographic variables. Future research using a qualitative method of the factors of CDMSE and perception of career barriers of the older applied technology and younger college transfer student populations is recommended to gain more specific information regarding the demographics within these two groups.