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Declining interests in STEM (science, technology, engineering, and mathematics) related careers are concerning at a time when the society is becoming more reliant on complex technologies and science. Our study examined the predictors of students' STEM career interests within cohort data (N = 601) collected from Finnish general upper secondary schools. We created a SEM research model based on the Social Cognitive Career Theory, to explore how (1) Career outcome expectations, (2) Natural science subject interests, (3) Mathematics self-efficacy beliefs, (4) Receiving career information from various sources, (5) Support for mathematics studies related to (6) students’ STEM career interests. A structural equation modelling (SEM) analysis showed receiving career information from various sources had a positive effect on STEM career interest. Likewise, mathematics self-efficacy beliefs positively related to natural science subject interest which, in turn, contributed to students’ interest towards STEM careers.

Examining the predictors of STEM career interest among upper secondary students in Finland