Analytics University of Prince Edward Island

Overview

The Analytics programme at the University of Prince Edward Island provides a multidisciplinary foundation for students looking to master the art of data interpretation. This degree focuses on identifying and presenting meaningful patterns to solve complex problems in various professional sectors.

Students can choose to specialise in either Data Analytics or Business Analytics, allowing for a tailored educational experience that aligns with specific career goals. The curriculum is designed to be flexible, ensuring that graduates possess the technical proficiency and analytical mindset required in the modern workforce.

The School of Mathematical and Computational Sciences provides a collaborative environment where students engage with diverse subjects.

Why Analytics at the University of Prince Edward Island?

The university is recognised as a leading institution for sponsored research funding, ranking highly among undergraduate universities in Canada. This research-intensive environment benefits students by providing access to modern facilities and a curriculum informed by the latest industry developments.

A distinctive feature of this programme is the Co-operative Education option, which allows students to integrate academic terms with paid work experience. This integrated approach enables learners to apply classroom theories in professional settings, gaining at least three terms of practical workplace experience.

The institution also emphasises professional communication and indigenous perspectives, incorporating these into the core learning journey. This holistic approach ensures that graduates are not only technically skilled but also socially conscious and effective communicators in their chosen fields.

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 of foundational subjects designed to build essential skills in mathematics and computing. Modules may include:

• Single Variable Calculus I
• Single Variable Calculus II
• Linear Algebra I
• Statistics
• Computer Science I
• Indigenous Teachings of Turtle Island
• Professional Communication and Practice
• Tutoring in Mathematical and Computational Sciences
• Data Science
• Computer Science II
• Design Thinking with Data
• Applied Regression Analysis
• Probability and Mathematical Statistics I
• High-Dimensional Data Analytics
• Analytics Capstone

Students pursuing the Data Analytics specialisation may also study:

• Computer Science III
• Data Structures and Algorithms
• Database Systems
• User Experience Design
• Analysis, Design of Algorithms
• Software Design Architecture
• Machine Learning
• Deep Learning

Those enrolled in the Business Analytics specialisation may take:

• Financial Accounting
• Marketing
• Organizational Behaviour
• Corporate Finance
• Research and Evidence-Based Management
• Human Resource Management
• Personal Finance
• Operations Management
• Entrepreneurship Venture Development
• Entrepreneurship Venture Implementation
• Tech Management, Entrepreneurship

Careers with Analytics

Graduates of this programme are in high demand due to the global reliance on data-driven decision-making. The skills acquired during the degree prepare students for diverse roles across multiple sectors, including government agencies, business corporations, and technology firms.

The combination of mathematical expertise and computational proficiency allows alumni to pursue careers as data analysts, business consultants, or systems specialists. The inclusion of co-operative education further enhances employability by providing direct links to the professional world before graduation.