BEX3369 · AI for business: Shaping the future of work

Overview

What will your job look like in a world where AI can write reports, analyse data, and automate decisions—and how do you stay ahead of that change? This unit explores how AI—particularly Generative AI—is transforming industries, organisations, and everyday work. Designed and delivered by Creative Destruction Lab (CDL) at Monash Business School, the unit brings real-world insight directly into the classroom. You will learn how organisations are applying AI to improve decision-making, streamline operations, and create new value. Through hands-on activities and applied projects, you will build practical skills using AI tools across business functions such as marketing, finance, strategy, and operations. A distinctive feature of the unit is direct engagement with CDL’s network of entrepreneurs, executives and other experts, who will contribute to teaching, workshops, and feedback. This provides exposure to how AI is being used at the frontier of business, beyond textbooks and case studies. The unit focuses on helping you: - understand where AI creates value (and where it doesn’t) - identify high-impact use cases within organisations - critically evaluate risks, limitations, and ethical considerations - apply AI tools to enhance productivity and decision-making By the end of the unit, you will be able to confidently apply AI in professional settings and understand how leading organisations are adapting to AI-driven change.

Offerings

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

1. understand where AI creates value (and where it doesn’t) in the business context;
2. identify high-impact use cases within organisations;
3. critically evaluate risks, limitations, and ethical considerations;
4. apply AI tools to enhance productivity and decision-making.

Workload

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.

Student experience, not official rules. Nothing here changes what the Handbook says.