Computational and Applied Mathematics and Statistics, Operations Research Track (BS in Computational and Applied Mathematics and Statistics)
The CAMS Operations Research major gives students skills to build mathematical models of complex systems using tools introduced in various Mathematics, Business, Computer Science, and Data Science classes. The required classes build foundational skills in model building, linear programming, stochastic modeling, probability, and statistics. Elective courses include supply chain optimization, lean six sigma, machine learning, graph theory, mathematical statistics, and statistical learning.
Minimum Course Pre-requisites
| Code | Title | Hours |
|---|---|---|
| MATH 111 | Calculus I | 4 |
| MATH 131 | Calculus I for Life Sciences | 4 |
| MATH 112 | Calculus II | 4 |
| MATH 132 | Calculus II for Life Sciences | 4 |
Note: other prerequisite courses may be needed depending upon elective courses selected.
Major Writing Requirement
The upper-division writing requirement is satisfied by one of the following ways:
• Completion of MATH 352 Statistical Data Analysis or MATH 455 Statistical Learning or MATH 459 Topics in Statistics with a grade of C- or better, or
• CAMS 495 Honors and CAMS 496 Honors which requires the writing of an Honors thesis.
| Code | Title | Hours |
|---|---|---|
| MATH 111 | Calculus I | 4 |
| or MATH 131 | Calculus I for Life Sciences | |
| MATH 112 | Calculus II | 4 |
| or MATH 132 | Calculus II for Life Sciences | |
| Major Mathematics Requirement | ||
| Proficiency in linear algebra and multivariable calculus at the level of MATH 211 and MATH 212 or MATH 213 is required. This is normally done by taking and passing these courses. | ||
| MATH 109 | Linear Algebra | 3 |
| MATH 212 | Introduction to Multivariable Calculus | 3 |
| or MATH 213 | Multivariable Calculus for Science and Mathematics | |
| Major Computing Requirement | ||
| CSCI 141 | Modern Programming Fundamentals | 4 |
| CSCI 241 | Data Structures | 3 |
| Operations Research and Statistics Requirements | ||
| BUAD 349 | Overview of Operations Research with Business Applications | 3 |
| or CAMS 210 | Topics in Computational and Applied Mathematics and Statistics | |
| MATH 323 | Operations Research: Deterministic Models | 3 |
| MATH 424 | Operations Research: Stochastic Models | 3 |
| MATH 351 | Probability and Statistics for Scientists | 3 |
| or MATH 451 | Probability | |
| Operations Research Electives (choose six courses for 18 credits) | 18 | |
| Big Data Analytics with Machine Learning | ||
| Lean Six Sigma Process Improve | ||
| Supply Chain Analytics | ||
| Predictive Analytics | ||
| Prescriptive Analytics | ||
| Graph Theory and its Applications | ||
| Statistical Data Analysis | ||
| Advanced Statistical Data Analysis | ||
| Matrix Analysis | ||
| Statistical Learning with Survival Data | ||
| Mathematical Statistics | ||
| Statistical Learning | ||
| Fundamentals of Artificial Intelligence/Machine Learning | ||
| Database Systems | ||
| Simulation | ||
| Neural Networks for Machine Learning | ||
| Databases | ||
Any CSCI course numbered CSCI 6X8 for undergraduate credit with appropriate approvals | ||
| Total Hours | 51 | |
Note:
With approval from the Operations Research Track director and/or the CAMS director, students may petition to replace one elective requirement with one or more independent study or research credits, including CAMS 495 496 Honors, which must total 3 credits. Permission may be granted if the research content is considered equivalent to the elective requirement.