Programs

The Summer Course in Actuarial Data Science is a free three-week program run by the Sri Sathya Sai Institute of Actuaries, from 27 April to 16 May 2026, teaching school and college students the foundations of actuarial science and data analysis. The Institute and Faculty of Actuaries (IFoA), UK is the 2026 Knowledge Partner.

SSSIA operates a credit bank of 120 credits. A student accumulates credits by completing courses in any permitted order, subject only to stated prerequisites. Each award is conferred automatically once the corresponding credit threshold is reached, and an earlier award is never forfeited by continuing. This includes Diploma level plus Exam 5, Exam 6 and Property & Casualty Predictive Analytics — the complete ACAS technical syllabus.

SSSIA operates a credit bank of 80 credits. A student accumulates credits by completing courses in any permitted order, subject only to stated prerequisites. Each award is conferred automatically once the corresponding credit threshold is reached, and an earlier award is never forfeited by continuing. This includes Certificate level plus MAS-I, MAS-II, VEE Corporate Finance and VEE Accounting, with advanced statistical computing.

SSSIA operates a credit bank of 40 credits. A student accumulates credits by completing courses in any permitted order, subject only to stated prerequisites. Each award is conferred automatically once the corresponding credit threshold is reached, and an earlier award is never forfeited by continuing. This includes CAS preliminary examinations P and FM, VEE Economics, and working literacy in Python, R and Excel.

The AI Actuaries Certification is the Institute's flagship program, blending actuarial science with machine learning and AI for professionals who want to lead the transformation of the insurance and risk industry.

Data Science for Actuaries builds a foundation in data science techniques tailored to actuarial work, from statistical modelling through to predictive analytics.

Advanced Risk Analytics covers modern risk quantification: stochastic modelling, scenario analysis, and the computational techniques behind them.

Core toolkit for actuaries working with large-scale data and predictive models.

Governance, fairness, and transparency frameworks for AI-driven insurance products.

Machine Learning in Insurance covers practical applications across pricing, reserving, fraud detection, and customer analytics.

📚 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 (𝟴-𝗪𝗲𝗲𝗸 𝗝𝗼𝘂𝗿𝗻𝗲𝘆): 𝗔𝗜 𝗔𝗰𝘁𝘂𝗮𝗿𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 (𝗔𝗜-𝗔𝗜𝗣) is an intensive 𝟴-𝘄𝗲𝗲𝗸 𝗵𝗮𝗻𝗱𝘀-𝗼𝗻 𝗶𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽 designed to bridge actuarial science with cutting-edge AI. The program covers the foundations of actuarial science, data, and AI; predictive modeling for insurance use cases; an introduction to Agentic AI and Large Language Models (LLMs); the development of actuarial AI assistants; and capstone project development and deployment.