Statistics University of Prince Edward Island

Overview

The Statistics programme at the University of Prince Edward Island provides students with a rigorous academic framework for collecting and analysing complex numerical data. This degree ensures that graduates are well-equipped to infer properties from representative samples and apply mathematical logic to real-world scenarios.

Students benefit from being part of the School of Mathematical and Computational Sciences, which is recognised for its supportive faculty and modern facilities. The university is ranked as a leading undergraduate institution in Canada for sponsored research funding, providing a high-quality environment for academic growth.

The curriculum is designed to bridge the gap between theoretical probability and practical applied statistics.

Why Statistics at the University of Prince Edward Island?

The university offers a unique learning environment where students receive personalised attention from expert instructors. As the seventh-ranked undergraduate university in Canada for research funding, the institution provides excellent resources for those interested in mathematical discovery. The School of Mathematical and Computational Sciences fosters a collaborative atmosphere through dedicated tutoring and professional practice modules.

Tuition Fee Breakdown

• International fee: CAD 16670 per year
• National fee: CAD 7630 per year

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

Syllabus

The curriculum begins with a common core designed to establish fundamental skills in mathematics and computing. Modules may include:

• Data Science
• Computer Science II
• Multivariable and Vector Calculus
• Linear Algebra II
• Mathematical Reasoning
• R Technology Lab
• Probability and Mathematical Statistics I
• Probability and Mathematical Statistics II
• Applied Regression Analysis
• Data Analysis and Inference
• Experimental Design
• Time Series I
• Statistical Simulation
• Stochastic Processes
• Tutoring in Mathematical and Computational Sciences
• Professional Communication and Practice

Students enrolled in the honours track will also complete the following:

• Honours Project I: Research
• Honours Project II: Thesis

Careers with Statistics

Graduates of this programme are prepared for diverse roles across various sectors that rely on data-driven decision-making. Common career paths include becoming a professional statistician, data analyst, or researcher within government agencies and private corporations. The solid theoretical grounding also serves as an ideal platform for pursuing Master’s or PhD level studies in specialised mathematical fields.