Course Title: Leveraging Artificial Intelligence for Business Transformation

Part A: Course Overview

Course Title: Leveraging Artificial Intelligence for Business Transformation

Credit Points: 12.00


Course Code




Learning Mode

Teaching Period(s)


City Campus


665H Accounting, Information Systems and Supply Chain


Sem 2 2024

Course Coordinator: Dr Su Nguyen

Course Coordinator Phone: +613 99251646

Course Coordinator Email:

Course Coordinator Location: Building 80

Course Coordinator Availability: By Appointment

Pre-requisite Courses and Assumed Knowledge and Capabilities


Course Description

This course introduces you to the capabilities, limitations, and biases of Artificial Intelligence (AI) tools and how they may be applied to solve business challenges and drive organizational growth. You will develop key artifacts throughout this course, including slide decks, literature and case study reviews, and implementation plans. During this course, you will learn how to engage in research and apply findings from cutting-edge literature and case studies to selecting and using AI tools in a business environment. At the end of the course, you will be able to articulate the range of business challenges that can be addressed using AI to transform and optimize business operations. 

Objectives/Learning Outcomes/Capability Development


On successful completion of this course you will be able to: 


CLO1: Map data science approaches to business functionality and data characteristics to solve data-informed business challenges. 


CLO2: Critically evaluate literature to identify solutions for business and organisational challenges. 


CLO3: Propose and justify a strategy to translate proven evidence-based approaches to new contexts and propose organizational capabilities to be developed, augmented, or automated with Artificial Intelligence techniques in a business setting. 

CLO4: Critically evaluate the consequences of automation within and across organisations and sectors from an organisational leadership perspective in a business context. 


CLO5: Logically and comprehensively analyse ethical perspectives related to designing, training, and using Artificial Intelligence to understand impact, minimize bias, and improve the validity of outcomes for businesses. 

Overview of Learning Activities

This course uses highly structured learning activities to guide your learning process and prepare you for your assessments. a range of individual and group activities to facilitate learning. These include completing the required and recommended readings and attending in-class and online activities in which seminars and group discussions take place. The activities are a combination of individual, peer-supported, and facilitator-guided activities, and where possible, project-led, with opportunities for feedback throughout. 


Authentic and industry-relevant learning is critical to this course, and you will be encouraged to critically compare and contrast and apply your industry insight and knowledge. Evaluate the practical applications of AI in your business context and in the industry and use your insights to shape organisational transformation. 

Social learning is another important component, and you are expected to participate in class and group activities, share drafts of work and resources, and give and receive peer feedback. You will be expected to work efficiently and effectively with others to achieve outcomes greater than those that you might have achieved alone. 


Above all, the learning activities are designed to maximise the likelihood that you will not only understand the course learning resources but also apply that learning to improving your own practice, for example, by producing real-world business artifacts and engaging in scenarios and case studies. 

Overview of Learning Resources

Various learning resources are available online through myRMIT/Canvas. In addition to topic notes, assessment details and a study schedule, you may also be provided with links to relevant online information, readings, audio and video clips and communication tools to facilitate collaboration with your peers and to share information.   


RMIT Library provides extensive resources, services and study spaces. All RMIT students have access to scholarly resources including course related material, books, e-books, journals and databases.  

Computers and printers are available at every Library. You can access the Internet and Library e-resources. You can also access the RMIT University wireless network in the Library.  


Contact: Ask the Library for assistance and information on Library resources and services: Study support is available for assistance with assignment preparation, academic writing, information literacy, referencing, maths and study skills.  Additional resources and/or sources to assist your learning will be identified by your course coordinator and will be made available to you as required during the teaching period. 

Overview of Assessment

The assessment alignment list below shows the assessment tasks against the learning outcomes they develop.    

Assessment Task 1: 30% 

Linked CLOs: 2, 4, 5 


Assessment Task 2: 40%

Linked CLOs: 1, 2, 4, 5 


Assessment Task 3: 30%

Linked CLOs: 2, 3, 4, 5 


Feedback will be provided throughout the semester in class and/or in online forums through individual and group feedback on practical exercises and by individual consultation.