Mathematics and Computer Science/Mathematics (BS/MS)
CURRICULUM
(Effective Fall 2023)
| Code | Title | Hours |
|---|---|---|
| BS Requirements | ||
| Math Requirements | ||
| MATH 161 | Calculus I | 4 |
| MATH 162 | Calculus II | 4 |
| MATH 263 | Multivariable Calculus | 4 |
| MATH 201 | Introduction to Discrete Mathematics & Number Theory | 3 |
| MATH 212 | Linear Algebra | 3 |
| MATH 264 | Ordinary Differential Equations | 3 |
| MATH 313 | Abstract Algebra | 3 |
| MATH 351 | Introduction to Real Analysis I | 3 |
| STAT 203 | Introduction to Probability & Statistics | 3 |
| or MATH 304 / STAT 304 | Introduction to Probability | |
| Select two electives in mathematics from the following: | 6 | |
| Numerical Methods | ||
| Advanced Topics Abstract Algebra | ||
| Advanced Topics in Linear Algebra | ||
| Introduction to Real Analysis II | ||
| Introductory Complex Analysis | ||
| Computer Science Requirements | ||
| COMP 141 | Introduction to Computing Tools and Techniques | 3 |
| COMP 170 | Introduction to Object-Oriented Programming | 3 |
| COMP 264 | Introduction to Computer Systems | 3 |
| COMP 271 | Data Structures I | 3 |
| COMP 272 | Data Structures II | 3 |
| COMP 363 | Design and Analysis Computer Algorithms | 3 |
| Select two 3-credit electives in Computer Science from the following: | 6 | |
| Bioinformatics | ||
Any 300-level COMP course | ||
| Algebraic Coding Theory | ||
| Cryptography | ||
| Computational Aspects of Modeling and Simulation | ||
| MS Requirements | ||
| Foundational Course Requirements | ||
| MATH 416 | Survey of Algebra | 3 |
| MATH 454 | Survey of Analysis | 3 |
| MATH 404 / STAT 404 | Probability & Statistics I 1 | 3 |
| or STAT 408 | Applied Regression Analysis | |
| Depth Requirement Courses | ||
| Select one of the following: | 3 | |
| Algebra II | ||
| Topics in Linear Algebra | ||
| Analysis II | ||
| Complex Analysis | ||
| Select one of the following: 1 | 3 | |
| Probability & Statistics II | ||
| Categorical Data Analysis | ||
| Natural Language Processing | ||
| Deep Learning | ||
| Introduction to Data Science | ||
Or another course with Graduate Program Director approval | ||
| Additional Requirements | ||
| MATH 401 | Introduction to Graduate Study in Mathematics | 1 |
| MATH 495 | Graduate Practicum in Mathematics | 2 |
| Four (4) approved 400-level Electives in Mathematics or Statistics 2 | 12 | |
| Total Hours | 90 | |
- 1
Students who select MATH 404/STAT 404 in Foundational Courses may opt to take STAT 408 as a Depth Course, and vice versa.
- 2
Approved elective courses should be selected with advice of Graduate Program Director to complement student's previous learning and support future plans.
The BS degree has a waiver for the Quantitative core.