dcsimg

B.S. in Computational 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 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.

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 101College Success1
General Education31
Core24
Track19
Electives15
Open Electives30
Total Credits120

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 level3
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 lab7
Total Credits39

BSCM Common Core

MA 241Calculus and Analytical Geometry I4
MA 242Calculus and Analytical Geometry II4
MA 243Calculus and Analytical Geometry III4
MA 305Introduction to Scientific Computing3
MA 413Statistics3
MA 432Linear Algebra3
MA 490Capstone Project3
Total Credits24

Engineering Application Track

MA 345Differential Equations and Matrix Methods4
MA 348Numerical Analysis I3
MA 441Mathematical Methods for Engineering and Physics I3
MA 442Mathematical Methods for Engineering and Physics II3
MA 410Linear Optimization3
or MA 453 High Performance Scientific Computing
MA 448Numerical Solution of Differential Equations3
Total Credits19

Suggested Plan of Study for Engineering Application Track

Year One
Credits
COM 122 English Composition 3
COM 219 Speech 3
EGR 115 Introduction to Computing for Engineers 3
Scientific Programming in C
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 Subtotal30.0
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 Subtotal30.0
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 Subtotal30.0
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 Subtotal30.0
 Credits Total: 120.0

Data Science Track

MA 345Differential Equations and Matrix Methods4
or CS 317
MA 325
Files and Database Systems
and Matrix Methods
MA 348Numerical Analysis I3
or MA 360 Mathematical Modeling & Simulation I
MA 412Probability and Statistics3
or MA 404 Statistics and Research Methods
MA 410Linear Optimization3
MA 440Data Mining3
MA 444Scientific Visualization3
Total Credits19

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
Scientific Programming in C
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 Subtotal30.0
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 Subtotal30.0
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 Subtotal30.0
Year Four
MA 410 Linear Optimization 3
MA 444 Scientific Visualization 3
MA 490 Capstone Project 3
Elective * 6
Open Electives 15
 Credits Subtotal30.0
 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)