Program Overview

The Bachelor of Science in Actuarial Mathematics

This program has become an attractive option for students interested in pursuing advanced degrees in mathematical or quantitative finance and master's degrees in business administration, as well as in securing employment in the banking and insurance industries. This multidisciplinary course of study concentrates on applied mathematics with a focus on financial models. In addition to a core curriculum of mathematics courses, students are required to complete specific courses in statistics, economics, and computer science.

Program Structure

The capstone courses in the program, Math 0470, Math 1119, and Math 1121, follow the most recent syllabi approved by the Society of Actuaries and the Casualty Actuarial Society for the societies professional examinations in probability, financial mathematics, investment and financial management, and life contingencies. The department organizes seminars to prepare students for taking these professional society examinations.

Sample 4-Year Program

Year 1

• Fall
  • Math 0220 (4 cr)
  • CS 0401 (4 cr)
  • General Education (6 cr)
• Spring
  • Math 0230 (4 cr)
  • Buserv 1920 (3 cr)
  • General Education (9 cr)

Year 2

• Fall
  • Math 0240 (4 cr)
  • Math 0413 (4 cr)
  • Math 0470 (3 cr)
  • Math 1119 (3 cr)
  • General Education (3 cr)
• Spring
  • Math 1121 (3 cr)
  • Stat 1152 (3 cr)
  • Math 1180 (3 cr)
  • General Education (6 cr)

Year 3 or 4

• Fall
  • Math 1122 (3 cr) or Math 1270 (3 cr)
  • Math 1128 (3 cr)
  • General Education (9 cr)
• Spring
  • Math 1180 (3 cr)
  • Math 1123 (3 cr) or Math 1129 (3 cr)
  • BusFin 1311 (3 cr)
  • General Education (9 cr)

Year 4 or 3

• Fall
  • Econ 1100 (3 cr)
  • Math 1126 (3 cr)
  • General Education (12 cr)
• Spring
  • Econ 1100 (3 cr)
  • Math 1127 (3 cr)
  • General Education (9 cr)

Research Areas

• Algebra, Combinatorics, and Geometry
• Analysis and Partial Differential Equations
• Applied Analysis
• Mathematical Biology
• Mathematical Finance
• Mathematics of Machine Learning
• Numerical Analysis and Scientific Computing
• Topology and Differential Geometry