The first of its kind in Canada, Schulich’s Master of Business Analytics program gives students the tools and techniques to become experts at data-driven decision-making.

With the increasing importance of business analytics, the talent to analyze and demystify Big Data is in growing demand.

The capstone of the program is an Analytics Consulting Project in which students will spend two terms working with real data in service to the community. 

Mirroring real-world “Big Data Competitions,” students will complete a hands-on, problem-driven analytics project and develop applicable business solutions using the resources of the state-of-the-art Deloitte Cognitive Analytics and Visualization Lab. 

They will directly interface with industry leaders and develop both technical and organizational expertise.

The Schulich Master of Business Analytics (MBAN) at York is a one-year full-time program designed to give you the tools and techniques to become an expert in this evolving, high-demand field.

• Transcript(s) from all University level studies1
• Statement of Interest/Statement of Intent/Personal Statement
• Resume/CV
• Letters of Recommendation
• Supplementary Information Form
• Portfolio
• Sample of Written Work
• Essays (2 written, 1 timed written, 2 video)
• Two references
• GMAT/GRE not required

1. A four-year undergraduate degree from a recognized post-secondary institution with a minimum B+ average in the last two full years (or equivalent) of academic work in one of the following subjects: 

Mathematics, Business, Computer Science, Economics, Engineering or Science. 

Undergraduate degree holders in other subject areas (Social Sciences, Arts and Humanities, Fine and Performing Arts, Education etc.) will be considered if they have completed a significant number of university courses in relevant topics (see list below). 

Successful applicants will have completed at least one university course on a listed topic, in two of the following categories.

Mathematics/Statistics

• Introductory Statistics
• Calculus
• Data Mining and Machine Learning
• Introduction to Data Science
• Linear Algebra

Computer Science

• Introduction to Programming
• Introduction to Data Structures
• Algorithms
• Introduction to Databases
• Data Mining

Business

• Business Intelligence
• Data Management
• Data Science for Business
• Artificial Intelligence for Business
• Business Analytics

2. Work Experience

• Post-degree work experience is recommended but not required.