Mathematics and Statistics Acadia University

Overview

The Mathematics and Statistics programme at Acadia University provides students with the essential quantitative tools required to model and resolve complex real-world challenges. This academic pathway offers a high-engagement environment where learners benefit from small class sizes and direct collaboration with expert faculty members.

Students can choose between a Bachelor of Science or a Bachelor of Arts, allowing for a tailored educational experience. The curriculum is designed to be flexible, enabling individuals to pair their major with secondary fields such as Business, Computer Science, Biology, or Physics to suit their career goals.

Why Mathematics and Statistics at Acadia University?

The institution is recognised for its hands-on learning environment and distinctive teaching features that help graduates stand out in competitive fields. Students have access to specialised facilities and a supportive community through the student-run Math Society, which hosts weekly seminars and social events.

A significant strength of the department is its accredited Actuarial Program, which is recognised by the Society of Actuaries. This stream provides one-on-one guidance for professional exams and covers all three VEE credits, offering financial reimbursement for study materials and exam fees for successful candidates.

The university also offers an integrated five-year B.Sc./B.Ed. programme for those interested in transferring their mathematical expertise to the classroom. Furthermore, the department facilitates summer research awards, allowing undergraduates to engage in high-level research projects alongside faculty mentors.

Tuition Fee Breakdown

• International fee: CAD 11987 per year
• National fee: CAD 10355 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

Modules may include:

• Statistical Learning
• Advanced Long-Term Actuarial Mathematics
• Cryptography
• Calculus
• Statistics
• Data Science
• Analytics
• Machine Learning

Careers with Mathematics and Statistics

Graduates from this programme are equipped with versatile, in-demand skills that prepare them for technical and analytical roles across various sectors. The quantitative training provided ensures that alumni are well-positioned for success in finance, medicine, and computer science.

Common career paths for graduates include:

• Actuary
• Data Scientist
• Financial Analyst
• Professional Statistician
• Teacher or Professor
• Healthcare Professional
• Sports Analyst
• Weather and Climate Modeler

The inclusion of a co-operative education option further enhances employability by allowing students to gain relevant work experience during their studies. This practical exposure, combined with strong problem-solving abilities, makes graduates highly attractive to global employers.