

The Actuarial Mathematics Bachelor of Science program at University of Michigan provides a rigorous curriculum for students seeking expertise in mathematics, statistics, and financial risk assessment. The program integrates probability, statistics, financial mathematics, and risk modeling, equipping students with analytical, computational, and problem-solving skills. Learners engage in modeling exercises, data analysis, and applied research, developing the ability to quantify and manage risk in insurance, finance, and other industries. The program emphasizes quantitative reasoning, analytical methods, and applied mathematics, preparing graduates for professional actuarial careers and advanced studies.
As a four year full time program, it offers a structured progression that combines foundational mathematics with specialized actuarial courses, computational training, and applied projects. Students strengthen their expertise in probability, financial modeling, statistical analysis, and risk assessment, applying mathematical methods to solve real-world problems in finance, insurance, and economics. The program equips graduates to pursue careers as actuaries, financial analysts, risk managers, or to continue advanced study in actuarial science, mathematics, or related quantitative fields.
Year 1 - Foundations in Actuarial Mathematics
• Calculus I and II
• Linear Algebra
• Introduction to Probability and Statistics
• Computer Programming for Mathematicians
Year 2 - Intermediate Probability and Financial Methods
• Multivariable Calculus
• Actuarial Statistics
• Discrete Mathematics
• Financial Mathematics
Year 3 - Advanced Actuarial Techniques
• Risk Theory
• Actuarial Modeling
• Probability and Stochastic Processes
• Elective Courses in Applied Mathematics
Year 4 - Capstone and Professional Preparation
• Independent Research Project
• Advanced Topics in Actuarial Science
• Seminar in Actuarial Applications
• Professional Portfolio and Exam Preparation
Graduates of this program pursue careers in insurance, finance, investment, risk management, and consulting where analytical, statistical, and problem-solving skills are critical. Many work as actuaries, risk analysts, financial analysts, insurance consultants, or data scientists, applying mathematical and statistical methods to assess, model, and manage risk. Others continue in graduate programs or professional actuarial certification programs. The program’s emphasis on applied mathematics, statistical analysis, and professional readiness ensures graduates are well-prepared to succeed in both industry and research environments.
Students choose this program for its combination of applied mathematics, actuarial science, and financial modeling, which equips them to analyze risk, develop predictive models, and solve complex quantitative problems. The curriculum emphasizes probability, statistics, financial mathematics, and risk assessment, preparing learners to pursue actuarial exams, professional careers, and advanced research. Students benefit from faculty mentorship, applied projects, and professional preparation that enhance analytical, computational, and problem-solving skills. By focusing on actuarial mathematics and applied problem-solving, the program ensures graduates are prepared for careers in insurance, finance, risk management, and quantitative research.
For further information, please contact the admissions office at:
Phone: 734-764-8129
Email: rackadmis@umich.edu
Address: Graduate Admissions Office, University of Michigan, Ann Arbor, MI 48109, USA