Overview

The Combinatorics and Optimization (MMath, PhD) program at the University of Waterloo offers advanced graduate training in discrete mathematics, focusing on areas such as combinatorial optimization, graph theory, continuous optimization, cryptography, and algebraic combinatorics. The objectives are to equip students with deep theoretical knowledge and research skills for solving complex problems in discrete structures and optimization. Unique features include a strong emphasis on interdisciplinary applications, particularly in computer science and engineering, and access to cutting-edge research in quantum computing and algorithms.

Career Prospects

Graduates are well-prepared for roles in academia, technology, finance, and government. Common paths include academic research positions, industry roles in algorithm design and data analysis, and consulting in operations research. The program's reputation enhances employability in competitive fields like cybersecurity and software development.

Key Faculty/Staff

• David Jao: Expertise in cryptography and elliptic curve cryptography.
• William Cunningham: Renowned for work in combinatorial optimization and network flows.
• Levent Tuncel: Specializes in continuous optimization and semidefinite programming.

Unique Facilities and Partnerships

Students benefit from the Department of Combinatorics and Optimization's dedicated research labs, the Institute for Quantum Computing (IQC), and the Centre for Applied Cryptographic Research (CACR). Partnerships with industry leaders in technology and finance provide opportunities for collaborative projects and internships.