Focus in Business Data Analytics | Department of Management

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In a world shaped by data, insight is power. The Focus in Business Data Analytics empowers Commerce students to move beyond the numbers—to think critically, act strategically, and lead with evidence. Designed for students who want to sharpen their competitive edge, this interdisciplinary Focus builds advanced data analytics capabilities that complement and extend core Commerce and Management program learning.

Blending economics, statistics, and business, students develop the skills to analyze complex datasets, uncover meaningful insights, and communicate them with clarity and impact. With hands-on exposure to the tools and analytical thinking driving today’s organizations, graduates are equipped to make confident, data-informed decisions in a rapidly evolving global economy.

The Focus in Business Data Analytics is open to students currently enrolled in the Commerce, Accounting, Finance, and Marketing Specialist programs, and offers formal recognition of data analytics expertise on the academic transcript—signaling readiness to lead in a data-driven future.

Eligible Programs:

Commerce Specialist (Focus ERFOC2273A)
Accounting Specialist (Focus ERFOC1704A)
Finance Specialist (Focus ERFOC2034A)
Marketing Specialist (Focus ERFOC2380A)

Completion Requirements:

The Focus in Business Data Analytics requires 3.0 credits, including 1.5 core credits, and at least 1.0 credit at the 300+ level.

Core Courses (1.5 credits)

ECO220Y5: Introduction to Data Analysis and Applied Econometrics
MGT270H5: Data Analytics for Management OR MGT341H5: Financial Modelling and Data Analytics

Program Electives (1.5 credits from the list below, and at least 1.0 credit at the 300- or 400-level)

MGT201H5: Coding for Business
MGT301H5: Coding and Data Mining for Business Analytics
ECO225H5: Data Tools for Economists
MGT371H5: Business Technology Management
ECO372H5: Data Analysis and Applied Econometrics in Practice
ECO375H5: Applied Econometrics I
MGT373H5: Machine Learning: A Hands-on Introduction
MGT420H5: Critical Thinking, Analysis and Decision Making II
MGT422H5: Advanced IT Audit and Data Analytics

Faculty Research Highlight

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Professor Ningyuan Chen on data, AI, and monetization.

Research & Teaching Expertise

UTMM's Faculty members bring a wealth of expertise in leading research and teaching in data, analytics, and coding. Learn more about UTMM's range of faculty here.