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Unit of study_
SMBA6009: Bus. Transformation Through Analytics and AI
2024 unit information
This unit is developed for people interested in understanding how to create a successful strategic roadmap in order to lead, seize opportunities, and transform organisational thinking in a digital age. For many years, state-of-the-art strategic thinking has promoted business models and leadership strategy based on competition analysis of close sector rivals, market analytics, as well as traditional human resources processes and talent development. At present time, the impacts of digital transformation are so broad that the most disruptive competition is likely to be external and come from businesses about which executives may have an incomplete understanding. For example, in Finance many traditional organizations (banks) are challenged by small Fintech start-ups. Furthermore, businesses at the moment are facing many external uncertainties such as the COVID-19 outbreak crisis. This unit delivers an in-depth 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 contemporary challenges. You will learn how digital transformation (through analytics and AI) could be championed in organisations facing risk and uncertainty. No previous experience in advanced analytics or data science is necessary for this unit.
Unit details and rules
Managing faculty or University school:
Management Education
| Code | SMBA6009 |
|---|---|
| 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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MBA Session 2 2024
|
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.
