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Bachelor of Science in Actuarial Science

General Education Requirements

Students must satisfy the university general education requirements. Many of the courses for the degree may be used to fulfill math proficiency, information literacy, social science, and math and life/natural sciences requirements. There is no foreign language requirement for the degree.

Required Courses

Candidates for the BS in Actuarial Science must complete a program of 62 credit hours of required courses. Each required course must be completed with a grade of C- or better and students must maintain a GPA of 2.0 for courses required for the degree. Courses required for the major may not be taken on a satisfactory/unsatisfactory basis.


Course Name Credit Hours
ACCTNG 2400 Fundamentals of Financial Accounting 3
CMP SCI 1250 Introduction to Computing 3
ECON 1001 Principles of Microeconomics 3
ECON 1002 Principles of Macroeconomics 3
ECON 4100 Introduction to Econometrics 4
ECON 4120 Time Series Econometrics for Economics and Finance 4
or ECON 4130 Business and Economic Forecasting
FINANCE 3500 Financial Management 3
FINANCE 3520 Principles of Insurance 3
FINANCE 3521 Financial Engineering: Applying Derivatives 3
INFSYS 2800 Information Systems Concepts and Applications 3
MATH 1800 Analytic Geometry And Calculus I 5
MATH 1900 Analytic Geometry And Calculus II 5
MATH 2000 Analytic Geometry And Calculus III 5
MATH 1320 Introduction to Probability and Statistics 3
or ECON 3100 Economic Statistics
MATH 4010 Financial Mathematics I 3
MATH 4020 Financial Mathematics II 3
MATH 4200 Mathematical Statistics I 3
MATH 4210 Mathematical Statistics II 3
Total Hours 62

Recommended Courses

Students are strongly encouraged to take as many of the following courses as possible.

Course Name Credit Hours
CMP SCI 2250 Programming and Data Structures 3
ECON 3001 Intermediate Microeconomics 3
ECON 3002 Intermediate Macroeconomics 3
ECON 4110 Applied Econometrics 4
ECON/MATH 4995 Internship in Actuarial Science 1-3
MATH 2450 Elementary Linear Algebra 3
MATH 4260 Introduction to Stochastic Processes 3