Four students working at a computer in a lab
Undergraduate | In-Person

Applied Mathematics, BS

Applied Mathematics uses math to solve everyday problems. These hurdles can range from distributing an investment to using algorithms to crack and decrypt intelligence codes.

Why Major in Applied Mathematics?

Every college graduate is expected to possess analytical and problem-solving skills. With an Applied Mathematics degree from Belmont, you'll develop strong research skills, learn under top-notch teaching faculty and have the opportunity to consider a variety of options after graduation.

Employers in a broad spectrum of fields value the abilities developed as a result of studying applied mathematics. After graduation, our students typically begin careers in areas such as actuarial science, business, statistics, pharmaceuticals and programming. Many also begin graduate school or academic careers as teachers.

Whatever your interest, you'll have countless ways to use your degree!

Two female students working at a computerWhat You'll Learn 

  • Skillsets in A.I. research, business analysis or probability theory.
  • Discrete math techniques that are used in software engineering or data science.
  • Understanding of the properties of complex numbers and complex-valued functions.


A Raspberry Pi with a MicroSD card in it.

Career Possibilities

  • Mathematician
  • Finance Analyst
  • Economist
  • Database Administrator
  • Mechanical Engineer
  • Computer Programmer
  • Math Educator

Program Details


The applied mathematics major leads to a bachelor of science. It requires 128 hours of coursework:

  • BELL core requirements (with certain technical requirements): 53 hours
  • Major requirements: 31 - 34 hours
  • Major Tool requirements: 7 hours
  • Minor requirements: 18 hours
  • General electives: 10 hours

See All Program Requirements

Courses You'll Take

  • MTH 1151 Elementary Statistics for the Sciences: The study of statistical procedures widely used in the sciences. Topics include, in addition to those taught in MTH 1150, modeling with probability distributions, multiple regression, analysis of variance, chi-square tests, nonparametric statistics, and bootstrapping. Analysis of data using computer software will relate to the sciences. Special emphasis will be placed on the communication of statistical results from scientific research.
  • MTH 1162 Data Analysis Laboratory: Students will collect data from actual biological experiments or surveys and will analyze the data using techniques being studied. Appropriate use of computers and software will be integrated into the laboratory and data analysis experience.
  • MTH 1210, Calculus I: An introduction to analytical geometry, limits, integration and differentiation.
  • MTH 1220 Calculus II: Further techniques of integration with applications, exponential and logarithmic functions, parametric equations and sequences and infinite series.
  • MTH 2210 Calculus III: Vectors and the geometry of space, vector functions, partial derivatives, multiple integrals, surface integrals, Green’s Theorem, Stokes’ Theorem and the Divergence Theorem, and, if time permits, second-order differential equations.
  • MTH 2240 Differential Equations: An introduction to ordinary differential equations. Topics may include equations of order one, linear differential equations, Laplace transforms, variation of parameters, power series solutions, systems of differential equations and applications.
  • MTH 2260 Linear Algebra: Topics include matrices, vectors and vector spaces and linear transformations.
  • MTH 3210 Probability: An introduction to the laws of probability, mathematical expectation, probabilistic model building, random variables and probability distributions.
  • MTH 3220 Mathematical Statistics: A development of the mathematical basis for measures of central tendency and variation, sampling distributions, statistical inference, hypothesis testing and decision theory.
  • MTH 4150 Numerical Methods: A problem-oriented course emphasizing the solution of linear systems and nonlinear equations, curve fitting, interpolation and approximation, error analysis and numerical integration and differentiation.
  • MTH 4170 Modeling and Simulation: Emphasizes experiences in the development of mathematical models and computer simulations of phenomena which are of interest across a wide variety of disciplines. Models may be based on: difference equations, dynamical systems, statistics, probability, discrete optimization methods, graphs and differential equations.

Belmont Actuarial Students Society (BASS): Belmont Actuarial Students Society provides an opportunity for members to learn more about future uses of mathematics and actuarial science by sponsoring speakers and discussion panels. The organization provides an opportunity for current mathematics majors in the actuarial science program to meet and interact with fellow classmates and alumni, allowing students to expand their network and to learn more about the field. This club will be of particular interest to students interested in mathematics, actuarial science, insurance work or graduate school.

Mathematical Association of America & Association for Computing Machinery (MAACM): Belmont’s MAACM chapter is open to all, regardless of major. The organization meets regularly for monthly meetings including math and computer science presentations, competitions and community service.

Request Information


Ready to Apply?

Start Your Application

Contact Us

College of Sciences & Mathematics

Spencer Hayes
Admissions Coordinator
(615) 460.6489
Email Spencer