Master in Mathematics and Statistics

Concordia University Montreal, located in the heart of Montreal, Canada, offers a unique blend of academic excellence and cultural diversity. You'll find many advantages to studying here, including its strong research focus, innovative approach, and commitment to sustainability. As a student, you'll be part of a large and diverse community of 46,811 students, with 9,999 international students from around the world.

Concordia has 248 programs available, covering fields such as engineering, business, and medicine. Specifically, the university focuses on community health, global literacy, water security, environmental impact, and sustainable infrastructure design. You'll have the opportunity to learn from experienced faculty and contribute to relevant research projects. English is the primary language of instruction, but you'll also be immersed in a bilingual city where French is widely spoken.

As a student at Concordia, you'll be based in the vibrant and multicultural city of Montreal, with its rich history, cultural events, and exciting activities. You'll have access to modern facilities, including libraries, labs, and student spaces. The university's commitment to sustainability and community engagement provides opportunities for you to get involved in local initiatives and make a positive impact. With its unique blend of academic rigor, cultural diversity, and community focus, Concordia University Montreal offers a distinct and enriching experience for international students like you.

The Master in Mathematics and Statistics at Concordia University is a degree program for students who want to advance their research skills and apply mathematical expertise to their chosen field. This Master's degree takes one year to complete and helps students tackle complex problems in fields like big data and corporate finance.

The curriculum includes core courses in mathematical and statistical theory, as well as elective courses that allow students to choose their area of interest. Students develop skills in areas like probability theory, mathematical modeling, and data mining, and may have the opportunity to conduct independent research under the guidance of a faculty advisor.

Graduates of this program can pursue careers as Data Analysts, Mathematical Modelers, Statisticians, Biostatisticians, or Operations Research Analysts, working in industries like finance, healthcare, or technology.