The Applied Mathematics concentration prepares students for careers as applied mathematicians working in business, government, and industry. It is recommended that students supplement the core mathematical program with courses in their chosen application area; for example, engineering, public health, finance, electronics, or geology. Course requirements emphasize mathematical foundations as well as the application of mathematics in other disciplines. In particular, students receive training in numerical analysis, mathematical modeling, statistics, and computing, as well as a solid preparation for further study.
Effective Fall 2023
A minimum grade of C is required in all mathematics, statistics, and computer science courses that are required for graduation.
Freshman | |||
---|---|---|---|
AUCC | Credits | ||
CO 150 | College Composition (GT-CO2) | 1A | 3 |
MATH 160 | Calculus for Physical Scientists I (GT-MA1) | 1B | 4 |
MATH 161 | Calculus for Physical Scientists II (GT-MA1) | 1B | 4 |
MATH 192 | First Year Seminar in Mathematical Sciences | 1 | |
Arts and Humanities | 3B | 6 | |
Diversity, Equity, and Inclusion | 1C | 3 | |
Historical Perspectives | 3D | 3 | |
Social and Behavioral Sciences | 3C | 3 | |
Elective | 3 | ||
Total Credits | 30 | ||
Sophomore | |||
MATH 261 | Calculus for Physical Scientists III | 4 | |
PH 141 | Physics for Scientists and Engineers I (GT-SC1) | 3A | 5 |
PH 142 | Physics for Scientists and Engineers II (GT-SC1) | 3A | 5 |
STAT 315 | Intro to Theory and Practice of Statistics | 3 | |
Select one course from the following: | 2-4 | ||
Discrete Structures and their Applications | |||
Introduction to Mathematical Reasoning | |||
Select one course from the following: | 3-4 | ||
Linear Algebra for Data Science | |||
Linear Algebra I | |||
Select one course from the following: | 4 | ||
Intro to Ordinary Differential Equations | |||
Differential Equations | |||
Select four credits from the following: | 4 | ||
Culture and Coding: Python (GT-AH3) | 3B,3B | ||
Python for STEM | |||
CS1--Introduction to Java Programming | |||
CS1--Computational Thinking with Java | |||
Mathematical Algorithms in Matlab I | |||
Introduction to R Programming | |||
Total Credits | 30-33 | ||
Junior | |||
MATH 317 | Advanced Calculus of One Variable | 4B | 3 |
MATH 450 | Introduction to Numerical Analysis I | 4A | 3 |
MATH 451 | Introduction to Numerical Analysis II | 3 | |
Select two courses from the following: | 6 | ||
Introduction to Combinatorial Theory | |||
Introduction to Mathematical Modeling | |||
Partial Differential Equations | |||
Mathematics of Information Security | |||
Biological and Physical Sciences1 | 3A | 3 | |
Mathematical Sciences2 | 3 | ||
Related Area3 | 6 | ||
Elective | 3 | ||
Total Credits | 30 | ||
Senior | |||
JTC 300 | Strategic Writing and Communication (GT-CO3) | 2 | 3 |
MATH 435 | Projects in Applied Mathematics | 4C | 3 |
Select one course from the following: | 3 | ||
Advanced Calculus I | |||
Introduction to Complex Variables | |||
Fourier and Wavelet Analysis with Apps | |||
Information and Coding Theory | |||
Mathematical Sciences2 | 6 | ||
Related Area3 | 6 | ||
Electives4 | 6-9 | ||
Total Credits | 27-30 | ||
Program Total Credits: | 120 |
- 1
Select from the list of courses (in a department other than Physics) in category 3A in the AUCC.
- 2
Select from upper-division MATH, CS, STAT courses, except those ending in –80 to –99.
- 3
A coherent set of courses outside the Mathematics Department in which mathematics is applied, approved by the concentration coordinator.
- 4
Select enough elective credits to bring the program total to a minimum of 120 credits, of which at least 42 must be upper-division (300- to 400-level).
Distinctive Requirements for Degree Program:
TO PREPARE FOR FIRST SEMESTER: The curriculum for the Major in Mathematics, Applied Mathematics Concentration assumes students enter college prepared to take calculus. Entering students who are not prepared to take calculus will need to fulfill pre‐calculus requirements in the first semester: MATH 117, MATH 118, MATH 124, MATH 125, MATH 126. A minimum grade of C is required in all Mathematics, Statistics, and Computer Science courses that are required by the major.
Freshman | |||||
---|---|---|---|---|---|
Semester 1 | Critical | Recommended | AUCC | Credits | |
CO 150 | College Composition (GT-CO2) | 1A | 3 | ||
MATH 160 | Calculus for Physical Scientists I (GT-MA1) | X | 1B | 4 | |
MATH 192 | First Year Seminar in Mathematical Sciences | 1 | |||
Arts and Humanities | 3B | 3 | |||
Historical Perspectives | 3D | 3 | |||
Pre-Calculus Requirements must be completed by the end of Semester 1, if needed (MATH 117, MATH 118, MATH 124, MATH 125, MATH 126). | X | ||||
Total Credits | 14 | ||||
Semester 2 | Critical | Recommended | AUCC | Credits | |
MATH 161 | Calculus for Physical Scientists II (GT-MA1) | X | 1B | 4 | |
Arts and Humanities | 3B | 3 | |||
Diversity, Equity, and Inclusion | 1C | 3 | |||
Social and Behavioral Sciences | 3C | 3 | |||
Elective | 3 | ||||
CO 150, MATH 160 must be completed by the end of Semester 2. | X | ||||
Total Credits | 16 | ||||
Sophomore | |||||
Semester 3 | Critical | Recommended | AUCC | Credits | |
MATH 261 | Calculus for Physical Scientists III | X | 4 | ||
PH 141 | Physics for Scientists and Engineers I (GT-SC1) | X | 3A | 5 | |
STAT 315 | Intro to Theory and Practice of Statistics | 3 | |||
Select four credits from the following: | 4 | ||||
Culture and Coding: Python (GT-AH3) | 3B,3B | ||||
Python for STEM | |||||
CS1--Introduction to Java Programming | |||||
CS1--Computational Thinking with Java | |||||
Mathematical Algorithms in Matlab I | |||||
Introduction to R Programming | |||||
MATH 161 must be completed by the end of Semester 3. | X | ||||
Total Credits | 16 | ||||
Semester 4 | Critical | Recommended | AUCC | Credits | |
PH 142 | Physics for Scientists and Engineers II (GT-SC1) | 3A | 5 | ||
Select one course from the following: | 2-4 | ||||
Discrete Structures and their Applications | |||||
Introduction to Mathematical Reasoning | |||||
Select one course from the following: | 3-4 | ||||
Linear Algebra for Data Science | |||||
Linear Algebra I | |||||
Select one course from the following: | 4 | ||||
Intro to Ordinary Differential Equations | |||||
Differential Equations | |||||
MATH 261, PH 141 must be completed by the end of Semester 4. | X | ||||
Total Credits | 14-17 | ||||
Junior | |||||
Semester 5 | Critical | Recommended | AUCC | Credits | |
MATH 450 | Introduction to Numerical Analysis I | X | 4A | 3 | |
Select two courses from the following: | 6 | ||||
Introduction to Combinatorial Theory | |||||
Introduction to Mathematical Modeling | |||||
Partial Differential Equations | |||||
Mathematics of Information Security | |||||
Related Area (See Concentration Coordinator) | 3 | ||||
Elective | 3 | ||||
MATH 369 must be completed by the end of Semester 5. | X | ||||
Total Credits | 15 | ||||
Semester 6 | Critical | Recommended | AUCC | Credits | |
MATH 317 | Advanced Calculus of One Variable | X | 4B | 3 | |
MATH 451 | Introduction to Numerical Analysis II | X | 3 | ||
Biological and Physical Sciences | 3A | 3 | |||
Mathematical Science Elective | 3 | ||||
Related Area (See Concentration Coordinator) | 3 | ||||
MATH 340 or MATH 345 must be completed by the end of Semester 6. | X | ||||
Total Credits | 15 | ||||
Senior | |||||
Semester 7 | Critical | Recommended | AUCC | Credits | |
Mathematical Science Elective | 6 | ||||
Related Area (See Concentration Coordinator) | 3 | ||||
Electives | 6 | ||||
MATH 450 must be completed by the end of Semester 7. | X | ||||
Total Credits | 15 | ||||
Semester 8 | Critical | Recommended | AUCC | Credits | |
JTC 300 | Strategic Writing and Communication (GT-CO3) | X | 2 | 3 | |
MATH 435 | Projects in Applied Mathematics | X | 4C | 3 | |
Select one course from the following: | X | 3 | |||
Advanced Calculus I | |||||
Introduction to Complex Variables | |||||
Fourier and Wavelet Analysis with Apps | |||||
Related Area (See Concentration Coordinator) | X | 3 | |||
Elective | X | 0-3 | |||
The benchmark courses for the 8th semester are the remaining courses in the entire program of study. | X | ||||
Total Credits | 12-15 | ||||
Program Total Credits: | 120 |