| Computer Science |
Credits: |
| CSCI 125 |
Computer Programming I |
3 |
| CSCI 185 |
Computer Programming II |
3 |
| |
|
Total: 6 Credits |
| |
| Physics |
Credits: |
| PHYS 170 |
General Physics I |
4 |
| PHYS 180 |
General Physics II |
4 |
| |
|
Total: 8 Credits |
| |
| General Electives |
Credits: |
|
Consult with advisor on all liberal arts electives. |
18 |
| |
| Restricted Electives |
Credits: |
|
Science Elective |
4 |
|
Consult with advisor on all elective choices. |
| |
| Mathematics Requirement (all concentrations) |
Credits: |
| MATH 170 |
Calculus I |
4 |
| MATH 180 |
Calculus II |
4 |
| MATH 220 |
Probability and Statistics |
3 |
| MATH 260 |
Calculus III |
4 |
| MATH 300 |
Mathematical Methods for Data Science |
3 |
| MATH 310 |
Linear Algebra |
3 |
| MATH 320 |
Differential Equations |
3 |
| MATH 340 |
Introduction to Mathematical Reasoning |
3 |
| MATH 350 |
Advanced Calculus |
3 |
| MATH 400 |
Elements of Modern Analysis1 |
3 |
| MATH 410 |
Numerical Linear Algebra |
3 |
| MATH 495 |
Mathematical Modeling |
3 |
| |
|
Total: 39 Credits |
|
[1] General Concentration students choose between MATH 400 and MATH 370 Real Analysis. |
| |
| Applied Mathematics Requirement2 |
Credits: |
| MATH 450 |
Partial Differential Equations |
3 |
| MATH 455 |
Numerical Analysis |
3 |
| |
|
Total: 3 Credits |
[2] General Concentration students may choose between MATH 450 or MATH 455. Computational Math and Data Science Concentration students must take MATH 455, and Mathematical Modeling Concentration students must take MATH 450.
Concentration Options
Students may choose between the general concentration, Computational Mathematics and Data Science, or Mathematical Modeling. |
| |
| General Concentration |
Credits: |
| MATH 3XX |
Math Elective must be at 300-level and above. Consult with advisor on all elective choices. |
3 |
|
Computer Science Elective |
3 |
|
Computer Science or Science Elective |
6 |
|
Math, Computer Science, or Science Elective |
3 |
|
STEM Elective in Math, Physics, Engineering, or Computing Sciences |
3 |
| |
|
Total: 18 Credits |
| |
| Computational Mathematics and Data Science Concentration |
Credits: |
| CSCI 235 |
Elements of Discrete Structures |
3 |
| CSCI 260 |
Data Structures |
3 |
| CSCI 335 |
Design and Analysis of Algorithms |
3 |
| MATH 325 |
Applied Statistics for Data Science |
3 |
| MATH 420 |
Mathematical Foundations of Machine Learning |
3 |
| MATH 440 |
Numerical Optimization |
3 |
| |
|
Total: 18 Credits |
| |
| Mathematical Modeling Concentration |
Credits: |
| MATH 470 |
Mathematical Fluid Dynamics |
3 |
| PHYS 225 |
Introduction to Modern Physics |
3 |
| PHYS 226 |
Introduction to Modern Physics Laboratory |
1 |
| PHYS 451 |
Mathematical Methods in Physics |
4 |
|
STEM Elective in Physics (must be at 300-level or above) |
4 |
|
STEM Elective in Math, Physics, Engineering, or Computing Sciences |
3 |
| |
|
Total: 18 Credits |
| |