Mathematics for Engineering

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 Mathematics for Engineering program at Polytechnique Montréal is a non-degree program for students who want to learn mathematical techniques applicable in engineering. It's a great option for graduates in engineering, mathematics, and sciences who want to enhance their skills.

Students learn about applied mathematics, operational research, statistics, and numerical analysis. The program has two streams: Applied Mathematics and Applied Sciences, allowing students to focus on their interests. Teaching methods combine theory with practical applications, helping students develop strong analytical skills.

Graduates can work as engineering analysts, data scientists, or research assistants in various sectors. They can also take on roles like mathematical modelers, operations researchers, or statistical analysts, using their skills to drive innovation and solve problems.