PROBABILITY FOR ACTUARIES
Develop a knowledge of fundamental mathematical tools for quantitatively assessing risk. Emphasize the applications of these tools to problems encountered in actuarial science.
Prerequisites & course information
Requisites: ( STAT/MATH 309 , MATH 331 , STAT 333 , 340 , or concurrent enrollment), or declared in undergraduate Business Exchange program. Not open to graduate/professional students. Course Designation: Core GenEd - Mathematics & Quantitative Reasoning Repeatable for Credit: Yes, for 2 number of completions Last Taught: Fall 2026 Learning Outcomes: 1. Mathematically represent common single variable discrete and continuous probability functions that are relevant in actuarial applications such as Poisson, binomial, negative binomial, and geometric, uniform, exponential, and normal. Audience: Undergraduate 2. Calculate measures related to the characteristics of single variable probability functions such as moments, mean, variance, median, mode, percentiles, etc., and interpret them in an actuarial context. Audience: Undergraduate 3. Derive joint, marginal and conditional probabilities and densities from multivariate distributions and calculate covariance and correlation coefficients, and interpret them in an actuarial context. Audience: Undergraduate Learning Outcomes: 1. Mathematically represent common single variable discrete and continuous probability functions that are relevant in actuarial applications such as Poisson, binomial, negative binomial, and geometric, uniform, exponential, and normal. Audience: Undergraduate 2. Calculate measures related to the characteristics of single variable probability functions such as moments, mean, variance, median, mode, percentiles, etc., and interpret them in an actuarial context. Audience: Undergraduate 3. Derive joint, marginal and conditional probabilities and densities from multivariate distributions and calculate covariance and correlation coefficients, and interpret them in an actuarial context. Audience: Undergraduate
Sources
- Course catalogue ↗2026-2027