Applied Mathematics

Applied mathematics is a field that develops and employs a variety of mathematical methods and techniques in order to describe and predict the behavior of systems encountered in science and industry. For example, mathematical and numerical modeling allows engineers to simulate the behavior of many complex systems without having to construct expensive physical models. A degree in applied mathematics appeals to individuals who are interested in applying their mathematical and problem solving skills to real world problems.

There is a need nationally for individuals with rigorous training in applied mathematics, both in industrial and academic settings. Our graduates acquire the necessary mathematical skills to help meet this demand. We are one of three SUNY campuses offering a degree in Applied Mathematics.

Our graduates successfully continue their education in graduate programs (mathematics, statistics, education, physics and computer science) or pursue careers in business, industry, government, and academia. They find employment in fields as diverse as mathematical modeling, finance, actuarial sciences, industrial mathematics, manufacturing, communications, and computing. Specific job categories include actuary, software engineer, mathematics teacher, college instructor, electrical and mechanical engineer, statistician, programmer analyst, cryptographer, reliability analyst, biological systems analyst, and financial analyst.

Depending upon future goals, students may structure their coursework with an emphasis on preparation for graduate school or for more immediate employment. Those who wish to further their study of mathematics may obtain a strong background in the more rigorous and abstract aspects of mathematics. Partial Differential Equations, Real Analysis, Vector and Tensor Calculus, Linear Algebra, and Discrete Mathematics are courses available for students with this interest. For those wishing to pursue careers immediately upon graduation, a rich background in those courses especially suitable to industry may be obtained. Courses supporting this area of study include Mathematical Modeling, Electromagnetism, Numerical Differential Equations, Numerical Linear Algebra, Numerical Computing, Statistics, and Probability.

Students may also work individually with faculty members to pursue special interests outside of our scheduled courses. Students will have the opportunity to work with faculty in the areas of data analysis, finance, mathematical physics, group theory, mathematical and computational modeling of problems in biomedical and material science, recent numerical methods, and fractals and chaos.

Students are also encouraged to receive academic credit through our Applied Math internship. This provides interested students the opportunity to work with local companies, putting their mathematics skills to work in applied settings.