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Fall 2026

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10 courses

Historical grades cover up to five years through the selected term. Grade sorting prioritizes courses with at least 100 letter grades.

Probability for Actuaries teaches fundamental mathematical tools for quantitatively assessing risk and applying them to actuarial science problems.

Offering recorded · Fall 2026

Historical reviews of Doug Bujakowski: The class is easy, but students recommend studying consistently rather than cramming because the material is extensive.

No recorded grade history

ACTSCI 399 is a directed reading and research course in actuarial science under faculty guidance.

Offering recorded · Fall 2026

historical GPA · grades

Spring 2022–Spring 2022 · limited sample

Introduces statistical learning theory and methods for analyzing and modeling risks in actuarial applications.

Offering recorded · Fall 2026

historical GPA · grades

Fall 2024–Spring 2026 · limited sample

Covers the definition and selection of probability distributions for heavily tailed and skewed insurance data.

Offering recorded · Fall 2026

The course is naturally very difficult and demanding, requiring significant time for practice problems and homework to succeed, which may stress students with outside obligations.

historical GPA · grades

Spring 2022–Spring 2026

Advanced short-term actuarial modeling focusing on parameter estimation for heavy-tailed insurance data and credibility assessment for ratemaking.

Offering recorded · Fall 2026

Reviewers describe the material as difficult, though one notes exams are more predictable than in related courses.

historical GPA · grades

Spring 2022–Fall 2025

ACTSCI 654 teaches multiple regression and time series analysis with a business focus, enabling students to critically consume related reports.

Offering recorded · Fall 2026

Historical reviews of Peng Shi: The material is described as difficult and theoretical, though the professor makes exams manageable.

historical GPA · grades

Spring 2022–Spring 2025 · limited sample

An introduction to predictive modeling for business applications, focusing on linear regression, classification, and model selection techniques.

Offering recorded · Fall 2026

Historical reviews of Peng Shi: Attending lectures and paying attention covers all exam questions, as the professor asks them throughout the sessions.

historical GPA · grades

Spring 2022–Spring 2026

RMI 999 is an independent reading and research course for PhD students in Risk Management and Insurance.

Offering recorded · Fall 2026

historical GPA · grades

Spring 2022–Spring 2022 · limited sample

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