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Unit of study_
SMBA6009: Bus. Transformation Through Analytics and AI
2025 unit information
This unit is developed for people interested in understanding how to create a successful strategic roadmap for the practical implementation of analytics and AI in a business context. The unit will provide you with an understanding of data, machine learning and recent AI developments (such as chat GPT) in order to enable you to lead, seize opportunities, and transform organisations (including your own) through the application of analytics and AI. For many years, state-of-the-art strategic thinking has promoted business models and leadership strategy was based on competition analysis of close sector rivals, market analytics, as well as traditional human resources processes and talent development. At the present time though, the impacts of digital transformation are so broad and developing so swiftly that the most disruptive competition is likely to be external and come from businesses that are using advanced analytical techniques about which executives may have an incomplete understanding. For example, in Finance, many traditional organizations (banks) are being challenged by small Fintech start-ups which are making better use of data and analytics to deliver an improved customer experience. This unit delivers an in-depth and practical understanding of how current business needs can be supported by analytics and AI at the cutting edge of thinking about the transformative potential of digital technology for tackling business challenges. You will learn how digital transformation (through data, analytics and AI) can be championed and practically implemented in organisations to maximise opportunity, improve customer outcomes and optimise risk-reward. No previous experience in advanced analytics or data science is necessary for this unit although familiarity with the pre–reading materials is strongly recommended.
Unit details and rules
Managing faculty or University school:
Business (Business School)
| Study level | Postgraduate |
|---|---|
| Academic unit | Management Education |
| Credit points | 6 |
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Prerequisites:
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SMBA6008 or SMBA6109 |
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Corequisites:
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SMBA6001 |
| Prohibitions:
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None |
| Assumed knowledge:
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The unit assumes some familiarity with basic statistical concepts and some experience in working with data |
At the completion of this unit, you should be able to:
- LO1. Define: Students will develop ability to approach and define real-world problems in leading digital transformation as well as understand limitations, which responsible thinking brings to data-driven business models
- LO2. Measure: Students will develop ability to identify appropriate measures, variables and datasets as well as to understand how to collect suitable data to minimize algorithmic bias and maximize business and customer value
- LO3. Analyse: Students will develop ability to select and apply the most appropriate methods and techniques to analyse the data and solve the problem
- LO4. Critically evaluate: Students will develop ability to critically evaluate existing data science methodology against business needs
- LO5. Communicate: Students will develop ability to communicate AI and analytics findings for business-level understanding
- LO6. Be ethical and responsible: Students will develop ability to approach all stages of the business problem-solving process in responsible and ethical manner
Unit availability
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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Semester 1 2025
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Normal evening | Castlereagh St, Sydney |
Outline unavailable
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Semester 2 2025
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Normal evening | Castlereagh St, Sydney |
Outline unavailable
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Modes of attendance (MoA)
This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.
