This study investigated whether a predictive tool developed by authors in the United States (Konvalina, Stephens and Wileman) could be used with University students in Australia (in particular the Australian Capital Territory) to predict their success in first year University computing courses. It also investigated the effect of demographic and past academic factors in conjunction with, and instead of the predictive test. The study examined differences in performance between male/female students, English as a Second Language (ESL)/non-ESL students and full-time/part-time students. It also examined the effect of all the above factors on the continuing success of students in the course. While significant differences in first-time performance were found between ESL and non- ESL students, no differences were found between the other pairings. No differences were found between any of the groups in the continuing success in the course. The KSW Test, while being an indicator of first year success, was not a strong enough model to be able to be used as a predictive tool. The demographic and previous academic data from students recently at High School, in particular, the Tertiary Entrance Score, level of mathematics studied, and previous computing study, were found to be more useful as an indicator of success in fust year, explaining 53% of the variation in h a 1 unit score. In addition, 67% of the variation in continuing success in their course was also explained by the Tertiary Entrance Score, ASAT verbal and ASAT quantitative scores.