Bachelor in Computational and Applied Mathematics and Statistics

Carleton University sits at the heart of Ottawa, Canada, and combines research strength with a vibrant student experience since its founding in 1942. With roughly 31,409 students and a diverse set of 95 programs, Carleton offers a broad academic portfolio across arts, engineering, business, public affairs, and sciences. The university’s urban campus benefits from proximity to Canada’s capital institutions, providing students with access to internships, cultural resources, and policy networks that enrich classroom learning.

Carleton emphasizes experiential learning and interdisciplinary study, supporting career-ready graduates through cooperative education, research projects, and community partnerships. Small seminar classes and engaged faculty help students develop practical skills and critical perspectives. International students, who form an active part of campus life, find specialized services for orientation, language support, and academic advising to ease the transition into Canadian study and professional environments.

Life in Ottawa offers a balanced combination of cultural amenities, outdoor activities, and public service opportunities, making it an appealing setting for study and personal growth. Carleton’s commitment to inclusive programming and student support helps learners navigate academic choices, co-op placements, and post-graduation pathways. Prospective applicants should review program requirements and reach out to admissions for guidance on applications, visas, and scholarship possibilities.

The Bachelor in Computational and Applied Mathematics and Statistics at Carleton University is for students who like math and statistics. This 4-year degree is taught in English and is a good choice for students who have finished high school. The program helps students learn about mathematical modeling, statistical analysis, and computational methods.

The curriculum includes subjects like linear algebra, calculus, and probability theory. Students will develop skills in programming languages like R and Python, and they will work on projects that involve data analysis and statistical modeling. They will also learn about machine learning and data science.

After graduating, students can work as Data Analysts, Biostatisticians, or Operations Research Analysts. They can also find jobs as Mathematical Modelers or Statisticians. Many companies in Canada and around the world hire graduates with this degree, including government agencies, insurance companies, and tech firms.