Bachelor of Science - Computational Mathematics

Program Description

Embry-Riddle Aeronautical University's Bachelor of Science in Computational Mathematics is designed to produce graduates who can operate at the intersection of applied mathematics, computer science and a science applications area. This degree program integrates mathematical modeling, computing and visualization to solve complex problems that arise in the physical, natural, and behavioral sciences as well as engineering.

By the end of their second year, students should select a track: Data Mining or Engineering Application. The students must also complete a minor or a second major that supplements the program core and aligns with their interests and career goals. In the capstone course this background is synthesized and applied to computational models that arise in such areas as atmospheric physics, structural dynamics, or computational fluid dynamics.

Students enrolled in this interdisciplinary major select the Data Science Track or the Engineering Application Track:

Data Science Track 

This track is designed for students interested in developing expertise in this significant growth area. Graduates with a data science skill set are in high demand for employment. Using interdisciplinary methods to extract knowledge or insights from large quantities of data, data scientists employ techniques and theories drawn from mathematics, statistics, and computer sciences and apply them to data-rich domains. This track provides students with a strong background in both the theory and practice of creating knowledge from data that can be used to solve real-world problems.

Engineering Applications Track 

This track is designed for students interested in a variety of computational-intensive project-based classes. This track, appealing to students who double major in computational mathematics and an engineering or physics program, assures that graduates are very competitive on the job market. This interdisciplinary track provides students with the fundamentals of mathematical sciences and an introduction to concepts and techniques of computation, optimal decision making, high performance computing, and statistical inference.

All students in the Computational Mathematics program, regardless of track, are encouraged to engage in industrial research opportunities under the guidance of faculty members.

Due to the emphasis on applied mathematics, computing tools, and science applications, this program provides an excellent background for graduates to secure entry-level positions in various industries. Mathematics also serves as a respected degree leading to graduate study in many fields. The Data Science track is a great preparation for the Masters in Data Science offered at ERAU.