Actuarial Science, B.S. Student Learning Outcomes

Student Learning Outcomes and Proposed Methods for Collecting Data (from Assessment Plan)

Formulation of actuarial problems: Students should be able to formulate real-world applications within the proper framework.
Essential skills for actuarial analysis: Students should be able to use data obtained from real world experiments to obtain the proper calculations and conclusions based on sound actuarial practice and theory.
Knowledge of data analysis: Students breadth of knowledge of statistical methodology should be broad enough so that they will be able to address a wide variety of statistical problems often encountered in actuarial applications.
Effective oral and written communication skills: Students should be able to effectively communicate their results to those within the actuarial profession, as well as to those who may only have very basic technical training.
Working knowledge of popular software: Students should be proficient in the most common types of programming languages and statistical software used in the actuarial industry.
Validation by Educational Experience: By graduation all students should have credit for all Validation by Educational Experience (VEE) requirements of the Society of Actuaries and the Casualty Actuarial Society.
Professional Exams: Students should be able to pass at least one professional actuarial exam.

ACSC 350 Assessment Question (1, 2, 4, 7)
ACSC 450 Assessment Question (1-5)
Completion of VEE Credits (6)
Passing Professional Exams (1, 2, 7)
Entry into Graduate Programs/Actuarial Employment (1-7)
Graduate Survey (1-5)

AAE updated September 2019

Accreditation, Assessment and Evaluation
Swen Parson 316
aae@niu.edu