Our research aims to model changes in students’ intended major, specifically whether a student plans on majoring in a STEM field or not. We use a Dynamic Naïve Bayesian Network as a model, which is created using transcript records from the UW Coursector Project. Our initial modeling captures which field a student will graduate in and whether or not a student will switch from a STEM field to a non-STEM field as well as when that switch will occur. Our project hopes to help decrease the over 50% attrition rate from STEM programs in the US.