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The Bachelor of Arts (B.A.) in Mathematics is designed for students interested in entering careers in mathematics or continuing on to graduate school. You’ll study foundational subjects such as calculus, differential equations, linear algebra, probability and statistics, and discrete math. As you progress in the program, you’ll learn new ways of thinking mathematically, learn proof techniques, and hone your problem-solving skills.

What can I do with this degree?

CareerCast currently ranks the professions of statistician, mathematician, and actuary among the top 10 professions, with actuary as the number 1 position:

  • Actuary
  • Financial forecaster
  • Operations research
  • Statistician
  • Mathematician
  • Compensation analyst
  • Associate optimization analyst
  • Compliance engineer

Our graduates work at places like:

  • Securian
  • Citibank
  • Target (operations research)
  • Wells Fargo Home Mortgage

Some of our graduates have gone on to study:

  • Computer science
  • Biostatistics
  • Applied statistics and research methods

Visit our alumni page to see what our recent graduates have been doing.

What skills will I develop?

  • Problem solving
  • How to apply abstract concepts to concrete problems
  • How to break down complex problems into smaller steps

What unique experiences or opportunities will I have?

  • Competitions in the Mathematical Association of America (MAA) and the COMAP Mathematical Contest in Modeling
  • Membership in Bethel’s MAA chapter
  • Internships for academic credit or to earn income
  • Original research with faculty

Academic Plans and Course Catalog

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APR 4 2024

Growing Minds: Bethel University Virtual Education Fair

6:30 p.m. CT

Join us online to learn more about our Education programs at Bethel University!

APR 6 2024

Understanding Creation: A Christian Reflection on Artificial Intelligence

8:30 a.m. Anderson Center Community Room

The annual faith/science mini-conference, co-hosted by Bethel University and Crown College, will explore a Christian perspective on artificial intelligence and machine learning.