Master in Applied Mathematics Research

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 Master in Applied Mathematics Research at Polytechnique Montréal is a degree program for students who want to gain advanced knowledge in mathematics and research. It takes a few years to complete and helps students develop strong research skills.

This program covers subjects like optimization, statistics, and numerical analysis. Students work closely with faculty members on projects and gain practical experience through seminars, helping them develop problem-solving skills.

Graduates can pursue careers as data analysts, research scientists, or operations researchers in industries like engineering, finance, and technology. They can also work as mathematical modelers or statistical analysts, applying their skills to real-world challenges.