A model-based study of statistical data that is used in decision making. Models include aggregate loss models, construction of empirical models, parametric models, credibility models, and simulation. This course is co-listed with ACST 5530. Prerequisite(s): ACST 4321 with a grade of C or better and ACST 4312 with a grade of C or better. An additional fee is associated with this course. Spring.