Actuarial Science (BS)
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Major Academic Plan
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Learning Outcome
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Learning Outcome
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Learning Outcome
Program Requirements
Students must pass one exam of the Society of Actuaries (SOA), usually Exam FM, before declaring an actuarial science major. Students should declare another statistics emphasis until they pass an exam (Applied Statistics and Analytics offers an unofficial "pre-actuarial" path with early courses).
Requirement 1 —Complete 3 Courses
course - Intro to Stat Data Analysis 3.0
course - Intro to Statistics Department 0.5
course - Theory of Interest 3.0
Requirement 2 —Complete 5 Courses
Statistics core courses:
course - Analysis of Variance 3.0
course - Probability and Inference 1 3.0
course - Applied R Programming 3.0
course - Statistical Modeling 2 3.0
course - Probability and Inference 2 3.0
Requirement 3 —Complete 4 Courses
Mathematical foundation courses:
course - Calculus 1 4.0
course - Calculus 2 4.0
course - Elementary Linear Algebra 2.0
course - Computational Linear Algebra 1.0
Requirement 4 —Complete 3 hours
Recommended course: Actuarial science majors should take IS 520, but all of the courses are valuable.
course - How to Program 3.0
course - Intro to Computer Science 3.0
course - Statistical Computing in Epi 3.0
course - Spreadsheet Automation 3.0
course - Data Science Ecosystems 3.0
Requirement 5 —Complete 3 Courses
course - Long-term Actuarial Math 3.0
course - Short-term Actuarial Math 3.0
course - Stat for Risk Modeling 3.0
Requirement 6 —Complete 3 hours
Note: If both courses are taken in requirement 6, one can be used as an elective in requirement 7. Students interested in life, finance, or pensions should take 444 and those interested in health or property/casualty should take 446.
course - Adv Long-term Act Math 3.0
course - Adv Short-term Act Math 3.0
Requirement 7 —Complete 9 hours
Note: Courses used to fulfill Requirements 4 and 6 will not double count here. Note: No more than 3.0 hours of any combination of STAT 496R and STAT 497R can be used for this requirement.
course - Principles of Accounting 3.0
course - Econ Principles & Problems 3.0
course - Principles of Finance 3.0
course - Spreadsheets for Bus Analysis 3.0
course - Spreadsheet Automation 3.0
course - Methods of Survey Sampling 3.0
course - Intro to Bayesian Statistics 3.0
course - Data Visualization 3.0
course - Data Science Ecosystems 3.0
course - Statistical Computing 3.0
course - Data Science Process 3.0
course - Special Topics in Applied Stat - You may take up to 3.0 credit hours 1.0v
course - Nonparametric Stat Methods 3.0
course - Applications in Biostatistics 3.0
course - Adv Long-term Act Math 3.0
course - Adv Short-term Act Math 3.0
course - Applied Bayesian Statistics 3.0
course - Bayesian Reliability 3.0
course - Analysis of Correlated Data 3.0
course - Data Science Capstone 1 3.0
course - Data Science Capstone 2 3.0
course - Machine Learning 3.0
course - Special Topics in Statistics - You may take up to 3.0 credit hours 1.0v
course - Academic Internship - You may take up to 3.0 credit hours 0.5v
course - Intro to Research - You may take up to 3.0 credit hours 0.5v
course - Experimental Design 3.0
Recommended Courses: Students should take Econ 110, Acc 200, and Fin 201 to complete the Society of Actuaries VEEs. Additionally, IS 515 and IS 520 are valuable in the daily work of an actuary.
