Welcome to the ASTIN Free Resources Portal. This project is designed to support actuarial education by bringing together a curated collection of freely available resources, including books, lecture notes, tutorials, datasets, videos, and other educational materials relevant to actuarial science. Use the tabs below to explore resources organized by topic areas. The tables are interactive, you can sort by columns and search within each table.
International Actuarial Association syllabus
reference:
This portal aligns broadly with the International Actuarial Association
(IAA) education terminology.
- IAA Education Syllabus (PDF):
View
PDF
- IAA Education Committee:
View
Website
Sponsorship: This portal is sponsored by the
ASTIN Academy, which supports actuarial education and
professional development.
Learn more about the
ASTIN
Academy.
Note on access and licensing: Links point to external websites and may change over time. All resources are believed to be freely accessible. If you believe a link should be removed due to rights concerns, please contact us.
This section includes freely available resources covering foundational probability concepts.
This section brings together freely available resources that support learning in financial mathematics and interest theory.
This section includes freely available resources covering actuarial modeling concepts, including short-term and long-term risk models.
This section includes freely available resources covering statistical modeling, predictive analytics, and data-driven decision-making in actuarial science.
These data sets can be used for classroom demonstrations, exercises, or student projects.
This section highlights open-source actuarial software, along with textbooks and documentation related to it.
This section includes freely available resources that support professional practice and career development in actuarial and risk-related roles.
This section highlights freely available Spanish translations of actuarial textbooks, supporting broader access to actuarial education and self-study.
For questions or collaboration opportunities, please contact Nii Okine.
📧 Email: okinean@appstate.edu
🏫 Department: Mathematical Sciences, Appalachian State
University
Other contributors:
Elizabeth Baafi — collaborator