Bachelor of Mathematics in Mathematical Optimization (Honours) in Waterloo Canada | University of Waterloo

Mathematical Optimization is a branch of mathematics focused on solving managerial challenges in business and government sectors. It entails creating mathematical representations of intricate real-world scenarios and employing advanced analytical methods to these models for making optimal or highly effective decisions. This discipline primarily comprises three key areas: Optimization, Statistics, and Computer Science. The honors program in Mathematical Optimization merges comprehensive mathematical training with specialized coursework in economics, business, and management science. The curriculum's mathematical component covers linear programming, modeling techniques, scheduling, forecasting, decision theory, and computer simulations. Emphasis is placed on addressing resource allocation challenges in complex, ever-changing, and unpredictable environments. Students begin with rigorous mathematical training encompassing combinatorics, linear optimization, modeling, scheduling, forecasting, decision theory, and simulation methods. This foundation is supplemented with studies in economics, business, and management science, along with opportunities for paid professional experience through cooperative education programs.