Logistics Systems Modeling

Polytechnique Montréal is a leading engineering school located on Mount Royal in vibrant Montreal. Founded in 1873, it enrolls about 10,000 students, including roughly 2,900 international students, and offers more than 150 specialized engineering programs. The school is renowned for rigorous technical training, extensive research capacity and strong industry partnerships that help students move from campus labs into high-impact careers.

Academic life at Polytechnique blends theoretical depth with hands-on experience in well-equipped laboratories, research chairs and collaborative projects. Areas of strength include aerospace, biomedical, materials and sustainable technologies, complemented by interdisciplinary initiatives in artificial intelligence and energy. The bilingual nature of Montreal creates opportunities to study and work in both French and English, broadening students’ cultural and professional horizons.

International applicants benefit from comprehensive support services, from immigration advising to housing options; on-campus residences are available with monthly costs typically ranging from $600 to $1,100 CAD. The university’s strong employer connections, co-op placements and startup-friendly ecosystem enhance employability. For students seeking a globally respected engineering education in North America, Polytechnique Montréal offers a research-intensive, multicultural environment with clear pathways to professional growth.

The Logistics Systems Modeling program is for students who want to learn mathematical tools to design and improve logistics systems. It's a non-degree program that lasts one year and is taught in English at Polytechnique Montréal in Canada.

Students learn problem-solving techniques like simulation, heuristics, and mathematical modeling. They get hands-on experience with the latest mathematical tools for logistics design and improvement. The program is flexible, so students can attend full-time or part-time.

Graduates can work as logistics consultants, operations research analysts, supply chain managers, logistics coordinators, or transportation managers. They'll be able to solve complex problems and analyze logistics systems in various industries.