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

MATH 111Calculus I4
MATH 131Calculus I for Life Sciences4
MATH 112Calculus II4
MATH 132Calculus II for Life Sciences4

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.

MATH 111Calculus I4
or MATH 131 Calculus I for Life Sciences
MATH 112Calculus II4
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 109Linear Algebra3
MATH 212Introduction to Multivariable Calculus3
or MATH 213 Multivariable Calculus for Science and Mathematics
Major Computing Requirement
CSCI 141Modern Programming Fundamentals4
CSCI 241Data Structures3
Operations Research and Statistics Requirements
BUAD 349Overview of Operations Research with Business Applications3
or CAMS 210 Topics in Computational and Applied Mathematics and Statistics
MATH 323Operations Research: Deterministic Models3
MATH 424Operations Research: Stochastic Models3
MATH 351Probability and Statistics for Scientists3
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 Hours51

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.