Survival analysis is a powerful statistical tool for analyzing the time until an event occurs, such as death, failure, or churn. For actuarial students, mastering survival analysis in R opens up a world of possibilities—from assessing insurance risk to predicting policyholder longevity. This tutorial walks you through using survival analysis in R step by step, blending theory, practical examples, and insider tips to help you confidently apply these methods in your studies and future work.

Mastering actuarial survival models is a crucial step for anyone preparing for the Society of Actuaries (SOA) Exam SRM or the Casualty Actuarial Society (CAS) Exam IFM. These exams test your ability to understand and apply survival models that are fundamental in pricing insurance products, managing risks, and valuing liabilities. If you’re feeling overwhelmed by the technical details or unsure where to begin, this step-by-step guide will help you approach the topic confidently, with practical advice and clear examples.