FUNDAMENTALS OF LONG-TERM ACTUARIAL MODELING

Prerequisites & course information

Requisites: ACT SCI 303 and ( MATH 331 , STAT/MATH 309 , 431 , STAT 333 , or 340 ), declared in undergraduate Business Exchange program, or Capstone Certificate in Actuarial Science Course Designation: Core GenEd - Mathematics & Quantitative Reasoning Level - Advanced L&S Credit - L&S Liberal Arts and Science Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Describe the key features of life and annuity insurance. Audience: Both Grad & Undergrad 2. Apply key concepts concerning parametric and non-parametric mortality models for individual lives. Audience: Both Grad & Undergrad 3. Estimate parameters for parametric and nonparametric survival models for actuarial applications. Audience: Both Grad & Undergrad 4. Describe and evaluate present value random variables associated with benefits and expenses for life and annuity insurance Audience: Both Grad & Undergrad 5. Describe and use the premium and policy value calculation processes for life and annuity insurance Audience: Both Grad & Undergrad 6. Apply long-term actuarial modeling tools in conjunction with other techniques to address challenges in insurance applications. Audience: Graduate Learning Outcomes: 1. Describe the key features of life and annuity insurance. Audience: Both Grad & Undergrad 2. Apply key concepts concerning parametric and non-parametric mortality models for individual lives. Audience: Both Grad & Undergrad 3. Estimate parameters for parametric and nonparametric survival models for actuarial applications. Audience: Both Grad & Undergrad 4. Describe and evaluate present value random variables associated with benefits and expenses for life and annuity insurance Audience: Both Grad & Undergrad 5. Describe and use the premium and policy value calculation processes for life and annuity insurance Audience: Both Grad & Undergrad 6. Apply long-term actuarial modeling tools in conjunction with other techniques to address challenges in insurance applications. Audience: Graduate