Mathematical Optimization

Mathematical Optimization (MO) is a branch of mathematics that develops and studies analytic tools to model and solve complex optimization problems arising in real world applications. It focuses on decision problems where scarce resources need to be allocated effectively, in complex, dynamic and uncertain conditions.

Practical examples for MO applications include enhanced scheduling for airline crews and sports games, improved production and distribution efficiency for manufacturing companies, increased service quality and efficiency in healthcare administration, and development of sophisticated tools for finance and investments.

The honours plan in MO combines a solid foundation in mathematics with special sequences of courses in economics, business, and management science. The mathematics portion of the plan includes combinatorics, linear optimization, modeling, scheduling, forecasting, decision theory, and computer simulation. Students in MO must choose from one of two specializations: Operations Research specialization or the Business specialization.

Program requirements

Summary of the degree requirements.

More questions?

Professor Ricardo Fukasawa
Mathematical Optimization Program Director
519-888-4567, ext. 32696