Actuarial Mathematics (2nd Edition) by Newton L. Bowers, Hans U. Gerber, James C. Hickman, Donald A. Jones, and Cecil J. Nesbitt. Additional undergraduate program resources: https://lsa.umich.edu/math/undergraduates/major-and-minor-programs/actuarial-mathematics.html

University of Michigan - Ann Arbor

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Study of financial risk and uncertainty. Combines elements of Business, Data Science, Statistics, and CS to help quantify financial risk. Actuaries are mostly hired into the Financial or Insurance industries to model various economic uncertianties.

Actuarial Mathematics

https://online.maryville.edu/blog/actuary-vs-data-scientist/
Actuary:
An actuary’s job is based on the premise that, given enough data, the right calculations will yield actionable insights that businesses can take to mitigate risk.

Data Scientist:
Like actuaries, data scientists spend their time analyzing data and making statistical predictions. However, unlike actuaries, who work primarily in insurance and deal chiefly with numbers, data scientists use a wide range of data to make predictions about a broader range of topics.

Actuary vs Data Scientist

https://online.maryville.edu/blog/actuary-vs-data-scientist/

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