# Bachelor of Science in Mathematics - Applied Mathematics

Wellness Requirement
APPH 1040Scientific Foundations of Health2
or APPH 1050 The Science of Physical Activity and Health
or APPH 1060 Flourishing: Strategies for Well-being and Resilience
Core IMPACTS
Institutional Priority
CS 1301Introduction to Computing3
Mathematics and Quantitative Skills
MATH 1552Integral Calculus4
Political Science and U.S. History
HIST 2111The United States to 18773
or HIST 2112 The United States since 1877
or INTA 1200 American Government in Comparative Perspective
or POL 1101 Government of the United States
or PUBP 3000 American Constitutional Issues
Arts, Humanities, and Ethics
Any HUM6
Communicating in Writing
ENGL 1101English Composition I3
ENGL 1102English Composition II3
Technology, Mathematics, and Sciences
PHYS 2211Introductory Physics I 14
PHYS 2212Introductory Physics II4
MATH 1551Differential Calculus2
or MATH 1550 Introduction to Differential Calculus
MATH 1553Introduction to Linear Algebra2
or MATH 1554 Linear Algebra
or MATH 1564 Linear Algebra with Abstract Vector Spaces
Social Sciences
Any SS9
Field of Study
CS 1331Introduction to Object Oriented Programming3
Lab Science4
MATH 2551Multivariable Calculus4
or MATH 2561 Honors Multivariable Calculus
MATH 2552Differential Equations4
or MATH 2562 Honors Differential Equations
MATH 2106Foundations of Mathematical Proof3
Bridging Courses
MATH 3012Applied Combinatorics3
MATH 3235Probability Theory3
MATH 3406A Second Course in Linear Algebra3
Upper Level Foundation Courses
MATH 4107Introduction to Abstract Algebra I 23
MATH 4317Analysis I 23
MATH 4320Complex Analysis 23
Applied Mathematics Concentration
MATH 4640Numerical Analysis I3
MATH 4347Partial Differential Equations I3
MATH 4541Dynamics and Bifurcations I3
Select nine credits: 79
Mathematical Foundations of Data Science
Partial Differential Equations II
Dynamics and Bifurcations II
Linear Programming
Classical Mathematical Methods in Engineering
Numerical Analysis II
Mathematical Biology
Vector and Parallel Scientific Computation
Quantum Information and Quantum Computing
Computational Modeling Algorithms
Introduction to Computing for Data Analysis
Mathematics Elective 73
Engineering or Science Electives 7
BIOS, CHEM, EAS, PHYS, PSYC, ECON, CS, CX, AE, BMED, CEE, CHBE, ECE, ISYE, MSE, ME 3000-level or higher courses 4,59
Free Electives
Free Electives 611
Total Credit Hours122

Four courses from Group A list must be completed. Student may select MATH elective from Group B if four courses from Group A are complete, otherwise, the Math elective must come from Group A. If student does not complete four courses from Group A list from concentration requirements and MATH elective, then the course(s) must be completed for free electives.

1

If PHYS 2231 is taken, extra hour goes toward Free Electives

2

C-minimum required

3

MATH 4699 must be an approved topic related to concentration and can be used once.

4

CEE 3770,ISYE 3770, CS 4001, and CS 4002 are not allowed to be used here.

5

Two courses must be from the same school.

6

MATH 1113, MATH 11X3, MATH 3670 CEE 3770, and ISYE 3770 are restricted from free electives.

7

These hours may share with a minor.