Courses
The department offers courses in mathematics, operations research, statistics and other interdisciplinary courses at both undergraduate and graduate levels.
Mathematics
MATH courses explore the foundational languages of logic, patterns and quantitative reasoning, equipping students with the problem-solving and analytical tools necessary to understand the world and drive technological innovation.
Operations Research
OPER courses introduce students to the powerful mathematical, statistical and computational methods used to model complex systems, optimize decision-making and solve real-world efficiency challenges across industries like logistics, finance and technology.
Statistical Sciences
STAT courses teach students how to collect, analyze and interpret data, providing them with the essential tools to uncover hidden patterns, quantify uncertainty,and make informed, data-driven decisions across science, business and society.
Statistical Sciences and Operations Research
SSOR courses combine advanced data analysis, mathematical modeling and optimization techniques to help students uncover patterns in complex data, mitigate uncertainty and design efficient, data-driven solutions for real-world systemic challenges.
Systems Modeling and Analysis
SYSM courses comprise graduate-level seminars and advanced research opportunities focused on professional communication, literature review and stochastic modeling within the Systems Modeling and Analysis Ph.D. program.