## Majors and Minors

We offer a bachelor of arts and a bachelor of science degree in mathematics. You can major in mathematics or in computational and applied math. A foundation of calculus and linear algebra courses supplemented with upper-level electives will expose you to the wide spectrum of mathematics. We also offer two separate minors: one in mathematics and one in discrete mathematics.

### Bachelor of Arts in Mathematics

After completing the core courses, you’ll choose freely from electives in math, with an option to take applied courses as well. The bachelor of arts is ideal for those who want a broad experience in mathematics and its applications.

Our most flexible program, the BA prepares you for a career in teaching, industry or graduate study.

### Bachelor of Science in Mathematics

This program includes core courses as well as classes in physics and computer science. You then choose electives, two of which give you a detailed view of a particular branch of mathematics (e.g., differential equations, discrete mathematics). This program is ideal for students who wish to pursue mathematically intensive careers or graduate study.

#### Computational and Applied Mathematics Major

Designed to blend mathematics and application, this program includes most of the same core courses as the other two programs. Students then choose a concentration in:

- Biology and life sciences
- Economics
- Physics and engineering
- Electrical engineering

This degree is well suited for students who wish to apply mathematics to physical problems and seek careers in industry or specialized graduate study.

### Sample Courses

Topics are presented so as to develop facility with methods of proof and mathematical argument. Topics will include logic, sets, binary relations, functions, binary operations, elementary number theory, number bases, mathematical induction, recursive definitions and algorithms, and other topics at the discretion of the instructor.

Systems of linear equations, matrix operations, determinants, vectors and vector spaces, independence, bases and dimension, coordinates, linear transformations and matrices, eigenvalues and eigenvectors.

A treatment of ordinary differential equations and their applications. Topics will include techniques for the qualitative analysis of autonomous equations and methods for determining analytical solutions for certain classes of equations.

A study of the nature, scope, applications and theoretical basis of operations research. The simplex algorithm, theoretical and computational aspects, duality theory and its relationship to game theory, dynamic programming, case studies.