Course description
Learners explore how artificial intelligence (AI) is transforming business analysis, from automating reports to supporting data-driven decision-making. Examine the evolving role of the analyst in utilizing AI tools to generate insights, develop models, and provide strategic recommendations. Topics include the evolution of business analysis with AI, identifying data sources, decision support systems, automation, predictive modelling, and performance improvement. Students gain foundational skills in prompt engineering, experiment with large language models, and explore agent development.
Course details
Credit transfer
Have you taken this course or an equivalent course? Contact the Credit Transfer Office.
Course equivalencies
Registration dates
Not all courses are offered each term.
Spring 2026 registration opens March 2, 2026.Fall 2026 registration opens June 29, 2026.
Delivery options
In person: classes held in person on a campus/site in a classroom/lab/shop/studio for the course duration
Online - Asynchronous: 100% online delivery, no scheduled day or time course requirements with the instructor, assigned due dates
Online - Synchronous: 100% online delivery, scheduled day and time course requirements with the instructor, assigned due dates
Hybrid: any combination of in person, timetabled, on campus, online, and hyflex delivery