Academic success, linked to socioeconomic advancement and key positive indicators inlife has largely been investigated along STEM courses especially in Nigeria. In this study, academic success was predicted at two levels: second class lower (2.2) and second class upper (2.1) degreesusing 244 questionnaires from architecture undergraduates at Kano University of Science and Technology (KUST) Wudilto test the hypothesis that other factors apart from motivation predict high academic success. Results from Binary Logistic Regression models indicate that achieving a 2.1 degree largely depends on personal attributes, notably how efficiently a student manages time/schedules, some degree of independence as well as conducive learning environments (classrooms, accommodation, external lighting, power supply, worship places and general cleanliness)and not necessarily motivation. This lends credence to Walberg’s Theory of Educational Productivity. Overall, mode of entry was the only significant predictor for academic success for both 2.2 (p=0.007, Exp(β)=1.990) and 2.1 (p=0.016, Exp(β)=1.361) class of degree models. This implies that candidates admitted through avenues other than UTME/ JAMB such as Direct Entry have higher chances of graduating with a 2.1 class of degree. Prospective candidates are encouraged to pursue advanced level qualifications prior to admission into architecture as this substantially increases the probability of graduating with a high class of degree.