Actuarial Science and Risk Management with R

This course focuses on team-based problem solving in actuarial science & risk management. Students will learn the fundamentals of the R programming language, RStudio and R Markdown, and use these tools as well as the software package Excel to complete a range of projects. Projects vary, but may include bond and loan amortization, analysis of the efficient frontier and the capital asset pricing method, insurance liability & estimates of expected loss. This course culminates in a capstone project that ties together skills from throughout the Actuarial Sciences program.

Student smiling while sitting outside, using a laptop.
Syllabus

Course Topics

Please Note

As this course is project-driven, it has relatively fewer course topics

  • Excel in Actuarial Science
  • Review of the use of Excel
  • Applications to problems related to annuities, loans, and bonds.
  • R Fundamentals in Actuarial Science
  • Introduction to R, RStudio & R Markdown.
  • Review of basics of programming
  • Using R to analyze actuarial problems.
  • Visualization, Analysis, and Professional presentation
Course Level

400

Skills Covered

  • R Programming
  • Data Visualization
  • Portfolio Management
  • Technical Writing
  • Team Management
  • Microsoft Excel
  • Communication
  • Data Reporting
  • Critical Thinking
  • Risk Management

Common Prerequisites

All courses listed may not be required. Discuss with your advisor to learn more.

  • Calculus I
  • Introductory Programming Coursework
  • Mathematical Theory of Interest

Disclosure

This course is delivered online through an institution of the Lower Cost Models Consortium (LCMC) that is different than your degree-granting institution that awards the academic credit for the course.

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