Numerous studies have observed unequal representation of gender stereotypes across different areas. However, some of the studies featured in this body of research were focused on using direct measures of implicit associations to understand how students are influenced by gender stereotypes when deciding their work area. This study demonstrates gender stereotypes and their impact, in particular the impact on the number of women in technical fields (e.g. computer science). We present a within-subject experiment, which investigates implicit and explicit gender stereotypes for two areas (exact sciences, and art and humanities). Our results from this study involving 41 students revealed a predisposition to unconsciously attribute men to exact sciences fields (e.g., computer science) and women to arts and humanities, but consciously we observed that in exact sciences, gender attributions were balanced.