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Program Overview
Program Overview
The Bachelor of Mathematics (BMath) program at Carleton University is designed to provide students with a strong foundation in mathematical and statistical analysis, as well as modern mathematical and statistical techniques. The program offers various concentrations, including Mathematics, Computational and Applied Mathematics and Statistics, and Statistics, with a focus on emerging methods such as artificial intelligence (AI) and data mining.
Program Details
The BMath program ensures that students master traditional mathematical or statistical analysis while learning modern mathematical or statistical techniques and using advanced computer software. The program also provides training on emerging methods such as artificial intelligence (AI) and data mining. Students can choose from various program options, including:
- Mathematics
- Computational and Applied Mathematics and Statistics
- Statistics (including concentration in Actuarial Science)
Capital Advantage
The program benefits from strong ties with institutions across the federal government and leading high-tech firms in Canada's largest technology park, Kanata North.
Work Experience
A Co-op option is available, providing students with the opportunity to gain work experience and develop key employability skills.
Program Options
The program offers various options, including:
- Mathematics
- Computational and Applied Mathematics and Statistics
- Statistics (including concentration in Actuarial Science)
- Combined Honours Programs, which incorporate courses in Mathematics and Statistics with those from other disciplines, such as Computer Science, Economics, and Physics.
Four Years: BMath and MSc
The program also offers an elite BMath/MSc fast-track program, which allows high-achieving students to complete a Bachelor of Mathematics and a Master of Science in Mathematics in four years rather than six.
Areas of Study
The program offers various areas of study, including:
- Actuarial Science
- Computational and Applied Mathematics and Statistics
- Mathematics
- Statistics
Career Outcomes
The solid mathematical knowledge and skills acquired in the program provide students with a competitive edge in a wide variety of careers, including:
- Actuarial Science
- Business
- Clinical Trials
- Data Analytics
- Environmental and Climate Modelling
- Epidemiological Modelling
- Information Security
- Investment Management
- Marketing Analytics
- Networks and Systems Analytics
- Survey Design
Sample Courses
The program offers a range of courses, including:
- MATH 1052 - Calculus and Introductory Analysis I
- MATH 3057 - Functions of a Complex Variable (Honours)
Admission Requirements
Admission requirements vary depending on the student's education background, including:
- Ontario High School
- Ontario College Graduate or Transfer
- Ontario/Canadian University Graduate or Transfer
- Canadian High School (outside Ontario)
- CEGEP
- Canadian College Graduate or Transfer
- Canadian/Ontario University Graduate or Transfer
- American High School
- American College/University Graduate or Transfer
- International Baccalaureate
- International High School
- International Post-Secondary
- Home-Schooled
- Mature Applicant
- Carleton University Current student (internal transfer)
- Carleton University Former student (Re-admission)
- Carleton University Special (non-degree) student
