Bachelor of Science in
Computational Mathematics
The B.S. in Computational Mathematics program at Embry-Riddle is designed to provide a foundation that meets the significant demands of technology in which constructing equations and algorithms for analysis, projection, and simulation is essential. The flexibility of the Computational Mathematics degree allows well-prepared students to pursue dual majors, increasing their career options and enhancing their marketability to potential employers.
Studying at ERAU’s Daytona Beach Campus provides the opportunity to participate in hands-on learning experiences, like those afforded in our new Nonlinear Waves Laboratories, where you can perform 3D simulations and visualize results.
ERAU is home to the Mathematics Assistance To Reach Individual eXcellence (MATRIX) Lab, which supports student success through tutoring and supplemental instruction.
Because of 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.
Classes tend to be small, so students can work closely with faculty members who enjoy sharing their passion for math. Collaboratively, the department’s students and faculty engage in a number of varied research areas, with emphasis on physical applications that are often described by partial differential equations.
DEGREE DETAILS
About Computational Mathematics at the Daytona Beach, FL Campus
The Bachelor of Science in Computational Mathematics is an applied mathematics program intended to prepare graduates to work in aerospace and related industries or to prepare for graduate studies in advanced mathematics, physical sciences, engineering or computer science. The degree includes an area of concentration that reflects the individual student’s interests and career goals in fields like systems engineering, computer science, business and finance or space physics. Seniors also get a chance to work with a team on an interdisciplinary project.
The Bachelor of Science in Computational Mathematics degree is housed in the Department of Mathematics in the College of Arts and Sciences.
A typical first year will include general education courses like English composition along with core classes in programming, computing for engineers, and mathematics.
The Bachelor of Science in Computational Mathematics is designed to produce graduates who can operate at the intersection of applied mathematics, computer science and science applications.
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.
Graduates of the Computational Mathematics program have options in numerous career fields, including business, engineering, and operations research. They can explore job opportunities as actuaries, financial analysts, and systems engineers, to name a few.
The 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 Applications. 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.
Because of 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.
Program Requirements
| UNIV 101 | College Success | 1 |
| General Education | 31 | |
| Core | 24 | |
| Track | 19 | |
| Electives | 15 | |
| Open Electives | 30 | |
| Total Credits | 120 | |
General Education Requirements
For a full description of Embry-Riddle General Education guidelines, please see the General Education section of this catalog. These minimum requirements are applicable to all degree programs.
| Communication Theory & Skills (COM 122, COM 219, COM 221) | 9 | |
| Humanities - Lower level | 3 | |
| Social Sciences - Lower level | 3 | |
| Humanities or Social Sciences - Lower or Upper level | 3 | |
| Humanities or Social Sciences - Upper level | 3 | |
| Computer Science (CS 223 or CS 225 or EGR 115) | 3 | |
| Mathematics | 8 | |
| Physical and Life Sciences - one course must include a lab | 7 | |
| Total Credits | 39 | |
BSCM Common Core
| MA 241 | Calculus and Analytical Geometry I | 4 |
| MA 242 | Calculus and Analytical Geometry II | 4 |
| MA 243 | Calculus and Analytical Geometry III | 4 |
| MA 305 | Introduction to Scientific Computing | 3 |
| MA 413 | Statistics | 3 |
| MA 432 | Linear Algebra | 3 |
| MA 490 | Capstone Project | 3 |
| Total Credits | 24 | |
Engineering Applications Track
| MA 345 | Differential Equations and Matrix Methods | 4 |
| MA 348 | Numerical Analysis I | 3 |
| MA 441 | Mathematical Methods for Engineering and Physics I | 3 |
| MA 442 | Mathematical Methods for Engineering and Physics II | 3 |
| MA 410 | Linear Optimization | 3 |
| or MA 453 | High Performance Scientific Computing | |
| MA 448 | Numerical Solution of Differential Equations | 3 |
| Total Credits | 19 | |
Suggested Plan of Study for Engineering Applications Track
| Year One | ||
|---|---|---|
| Credits | ||
| COM 122 | English Composition | 3 |
| COM 219 | Speech | 3 |
| EGR 115 | Introduction to Computing for Engineers | 3 |
or CS 223 | Scientific Programming in C | |
or CS 225 | Computer Science II | |
| MA 241 | Calculus and Analytical Geometry I | 4 |
| MA 242 | Calculus and Analytical Geometry II | 4 |
| Physical Science Elective | 3 | |
| UNIV 101 | College Success | 1 |
| HU Lower Level Elective | 3 | |
| SS Lower Level Elective | 3 | |
| Open Electives | 3 | |
| Credits Subtotal | 30.0 | |
| Year Two | ||
| COM 221 | Technical Report Writing | 3 |
| MA 243 | Calculus and Analytical Geometry III | 4 |
| MA 305 | Introduction to Scientific Computing | 3 |
| MA 345 | Differential Equations and Matrix Methods | 4 |
| MA 413 | Statistics | 3 |
| Physical Science Elective | 3 | |
| Physical Science Laboratory | 1 | |
| Elective * | 3 | |
| Lower or Upper-Level Humanities or Social Science Elective | 3 | |
| Open Elective | 3 | |
| Credits Subtotal | 30.0 | |
| Year Three | ||
| MA 348 | Numerical Analysis I | 3 |
| MA 432 | Linear Algebra | 3 |
| MA 441 | Mathematical Methods for Engineering and Physics I | 3 |
| MA 442 | Mathematical Methods for Engineering and Physics II | 3 |
| Elective * | 6 | |
| Upper Level Humanities or Social Science Elective | 3 | |
| Open Electives | 9 | |
| Credits Subtotal | 30.0 | |
| Year Four | ||
| MA 448 | Numerical Solution of Differential Equations | 3 |
| MA 453 | High Performance Scientific Computing | 3 |
| MA 490 | Capstone Project | 3 |
| Elective * | 6 | |
| Open Electives | 15 | |
| Credits Subtotal | 30.0 | |
| Credits Total: | 120.0 | |
Data Science Track
| MA 345 | Differential Equations and Matrix Methods | 4 |
| or CS 317 & MA 325 | Files and Database Systems and Matrix Methods | |
| MA 348 | Numerical Analysis I | 3 |
| or MA 360 | Mathematical Modeling & Simulation I | |
| MA 412 | Probability and Statistics | 3 |
| or MA 404 | Statistics and Research Methods | |
| MA 410 | Linear Optimization | 3 |
| MA 440 | Data Mining | 3 |
| MA 444 | Scientific Visualization | 3 |
| Total Credits | 19 | |
The Data Science Track is designed for students interested in developing expertise in data science, with specialization in computational mathematics. Using interdisciplinary methods and systems to extract knowledge or insights from large quantities of data, data science employs techniques and theories drawn from mathematics, statistics, and computer sciences and applies them to data-rich domains.
Suggested Plan of Study for Data Science Track
| Year One | ||
|---|---|---|
| Credits | ||
| COM 122 | English Composition | 3 |
| COM 219 | Speech | 3 |
| EGR 115 | Introduction to Computing for Engineers | 3 |
or CS 223 | Scientific Programming in C | |
or CS 225 | Computer Science II | |
| MA 241 | Calculus and Analytical Geometry I | 4 |
| MA 242 | Calculus and Analytical Geometry II | 4 |
| Physical Science Elective | 3 | |
| UNIV 101 | College Success | 1 |
| HU Lower Level Elective | 3 | |
| SS Lower Level Elective | 3 | |
| Open Electives | 3 | |
| Credits Subtotal | 30.0 | |
| Year Two | ||
| COM 221 | Technical Report Writing | 3 |
| MA 243 | Calculus and Analytical Geometry III | 4 |
| MA 305 | Introduction to Scientific Computing | 3 |
| MA 325 | Matrix Methods | 1 |
| MA 412 | Probability and Statistics | 3 |
| Physical Science Elective | 3 | |
| Physical Science Laboratory | 1 | |
| Elective * | 3 | |
| Lower or Upper-Level Humanities or Social Science Elective | 3 | |
| Open Elective | 6 | |
| Credits Subtotal | 30.0 | |
| Year Three | ||
| CS 317 | Files and Database Systems | 3 |
| MA 360 | Mathematical Modeling & Simulation I | 3 |
| MA 413 | Statistics | 3 |
| MA 432 | Linear Algebra | 3 |
| MA 440 | Data Mining | 3 |
| Upper Level Humanities or Social Science Elective | 3 | |
| Elective * | 6 | |
| Open Electives | 6 | |
| Credits Subtotal | 30.0 | |
| Year Four | ||
| MA 410 | Linear Optimization | 3 |
| MA 444 | Scientific Visualization | 3 |
| MA 490 | Capstone Project | 3 |
| Elective * | 6 | |
| Open Electives | 15 | |
| Credits Subtotal | 30.0 | |
| Credits Total: | 120.0 | |
* Elective requirement may be met with declaration and completion of any MINOR or TWO DEGREES OF THE SAME RANK or DOUBLE MAJOR. (ROTC courses also acceptable)
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Degree Summary
120 Credits
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