Applied Mathematics, BS

Degree: Bachelor of Science (BS)
Major: Applied Mathematics


Program Overview

All undergraduate degrees in the Department of Mathematics, Applied Mathematics and Statistics are based on a four-course sequence in calculus and differential equations. The mathematics and applied mathematics degrees each require further mathematics courses in analysis and algebra. The statistics degrees each require a further statistics core. There are additional requirements particular to each degree program, including technical electives in the major. Each degree program requires a minimum of 120 credit hours.

The BS in Applied Mathematics prepares students to solve real-world problems using mathematical modeling, numerical methods, and computer simulations. Like the BS in Mathematics, the BS in Applied Mathematics requires a core of linear algebra and analysis, but additionally requires courses in computing and probability instead of abstract algebra and complex analysis. The technical electives for the BS in Applied Mathematics include offerings such as Partial Differential Equations, Mathematical Modeling, and Applied Probability. The degree provides a solid basis for graduate studies in applied mathematics and related areas where mathematical methods play a central role, and provides analytic and computational tools for successful work in applied research and industry.

Learning Outcomes

  • Students will be able to know the fundamental concepts of linear algebra: Vector spaces, linear operators and matrices, four fundamental subspaces, matrix factorizations, and the solution theory of linear systems.
  • Students will be able to correctly analyze the solvability of linear problems in practice, and be able to solve linear systems.
  • Students will be able to know the fundamental concepts of calculus and classical mathematical analysis: Metric spaces, limits and convergence, continuity, and differential and integral calculus.
  • Students will be able to demonstrate the capability of rigorous abstract thinking, and be able to set up a rigorous mathematical proof.
  • Students will be able to know the key concepts of scientific computing: Accuracy, stability, computational complexity.
  • Students will be able to know and able to use the key elements of scientific computing, including solving linear and non-linear equations, approximation, interpolation, numerical differentiation and quadrature rules.
  • Students will be able to express a given problem in quantitative terms, and/or find the appropriate set of mathematical tools to tackle the problem, and/or be able to select and implement an algorithm that leads to the solution of the problem.
  • Students will be able to communicate effectively the results to a non-expert in mathematics, and be able to put the work in the proper context.

Undergraduate Policies

For undergraduate policies and procedures, please review the Undergraduate Academics section of the General Bulletin.

Accelerated Master's Programs

Undergraduate students may participate in accelerated programs toward graduate or professional degrees. For more information and details of the policies and procedures related to accelerated studies, please visit the Undergraduate Academics section of the General Bulletin.