Business Analytics York University

Overview

The Business Analytics programme at York University provides students with the essential tools and techniques required to become experts in the evolving field of data science. This comprehensive curriculum at York University bridges the gap between technical technology and business acuity to drive organisational success.

As the first of its kind in Canada, this course addresses the growing demand for professionals capable of demystifying big data. Students develop a strategic mindset to support data-driven decision-making across various global industries. The learning environment is highly collaborative, focusing on real-world applications of analytical theories.

Why Business Analytics at York University?

The programme is recognised by the Vector Institute for Artificial Intelligence, ensuring the curriculum meets the highest industry standards for competency. Students may be eligible for prestigious merit-based scholarships valued at $17,500 through this partnership. The school provides a dedicated Centre for Career Design to support professional growth.

A distinctive feature of the degree is the Analytics Consulting Project, a hands-on capstone spanning two terms. Students work in teams to solve complex problems for actual client sites, interfacing directly with industry leaders. This practical experience builds both technical proficiency and organisational expertise before graduation.

Tuition Fee Breakdown

• International fee: CAD 6275 per semester
• National fee: CAD 18970 per semester

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

Syllabus

The curriculum consists of 45.00 credits, including core requirements and elective choices to tailor the learning experience. Modules may include:

Term 1

• Artificial Intelligence Fundamentals
• Database Fundamentals
• Data Science I
• Project Management
• Case Analysis and Presentation Skills

Term 2

• Predictive Modelling
• Data Science II
• Analytics Consulting Project
• Models & Applications in Operational Research

Term 3

• Visual Analytics and Modelling
• Ethics and Technology

Elective options allow for further specialisation in specific business functions. Modules may include:

• Management Accounting
• Economic Forecasting and Analysis
• Managerial Finance
• Applications of Data Science in Finance
• Management of Risk in Financial Institutions
• Artificial Intelligence in Business I
• Artificial Intelligence in Business II
• Marketing Management
• Future of Marketing
• Marketing Research
• Marketing Metrics
• Advanced Spreadsheet Modelling & Programming for Business
• Supply Chain Management
• Digital Transformation in Business Operations
• Service Operations Management
• Managing Change
• Negotiations

Careers with Business Analytics

Graduates are prepared for exciting careers in data-intensive sectors such as banking, healthcare, retail, and e-commerce. The programme equips students for roles that involve creating value through the analysis of large datasets. Many alumni secure positions in customer advisory, data science, and strategic consultancy.

The school maintains strong links with global organisations, including partnerships with firms like CI Financial and Microsoft Azure. These connections provide students with insights into industry trends and potential employment pathways. Career services include corporate information sessions and access to a year-round job portal.