Comparing Actuary vs. Data Scientist Actuaries and data scientists differ in several ways. A data scientist’s scope is often broader than that of an actuary, while actuaries are more familiar with the nuances of statistical probability than data scientists. Data scientists often develop programs to help them process data, while actuaries use existing programs to help them determine risk. Finally, actuaries deal primarily with financial risk, while data science can be applied to any field that relies on large amounts of data.

Quality education is essential whether a student is interested in a career in data or actuarial science. At Maryville University, students can choose between two degree options to prepare for these paths. The Online Bachelor of Science in Mathematics program teaches students fundamentals including calculus and number theory, and offers a minor in data science with courses in coding and machine learning. The Online Bachelor of Science in Data Science focuses on mathematical principles like statistics and probability, as well as math modeling and machine learning skills, and offers a concentration in actuarial science that provides students with the skills they need for a rewarding career as an actuary.