Unit - The 爆料王

INFS6018: Managing with Data and AI

Units INFS6018

Unit of study_

INFS6018: Managing with Data and AI

2027 unit information

The job market you are entering is being reshaped by data and artificial intelligence faster than most organisations can adapt. That gap, between what AI and data systems can now do, and what managers know how to do with them, is where your opportunity lies. Employers are not primarily looking for people who can build models or write code. They are looking for managers who can ask the right questions of data, critically evaluate what AI systems tell them, make sound decisions under uncertainty, and take responsibility for outcomes. These are judgement skills, not technical skills, and they are in short supply. This unit is designed around that reality. Every topic, every assessment, and every case discussion is oriented toward one question: what does a capable manager need to know and be able to do in an organisation that runs on data and AI? Taking a business rather than a technology perspective, this unit covers the enterprise ecosystem in the context of strategic and operational analytics and decision-making. Topics include innovation through advanced analytics, data-driven performance management, strategic business improvement, automated decision making, and the management of complex BI and analytics initiatives. The unit also addresses the governance, ethical and regulatory dimensions of data and AI use; competencies that have become essential as organisations rely more heavily on automated decision support. The unit also offers hands-on experience using a commercial analytics platform, combined with in-depth analytical skills development, with a strong focus on data storytelling, AI literacy, and AI auditing. By the time you complete this unit you will be able to walk into any organisation, in financial services, healthcare, government, retail, professional services, and contribute immediately to the conversations that matter most: how do we use our data better, how do we govern AI responsibly, how do we make better decisions faster, and how do we build the capability to sustain that advantage over time. That is not a narrow skillset. It is one of the most transferable and durable things a postgraduate management qualification can give you.

Unit details and rules

Managing faculty or University school:

Business (Business School)

Details

Study level	Postgraduate
Academic unit	Business Information Systems
Credit points	6

Enrolment rules

Prerequisites: ?	None
Corequisites: ?	INFS5002 or COMP5206 or QBUS5001
Prohibitions: ?	None
Assumed knowledge: ?	Understanding the major functions of a business and how those business functions interact internally and externally so the company can be competitive in a changing market. How information systems can be used and managed in a business. How to critically analyse a business and determine its options for transformation. Desirable Experience as a member of a project team.

Learning outcomes

At the completion of this unit, you should be able to:

LO1. Apply the fundamental concepts and practice of managing through data challenges in differentiated organisational settings.
LO2. Identify and analyse issues, challenges and solutions in managing through data/business analytics systems from the business rather thantechnical perspective.
LO3. Critically examine the intra and inter organisational and societal issues involved in implementing various types of analytical systems.
LO4. Design and implement a small-scale data analysis project in an organisational setting.
LO5. Evaluate different analytical outputs and their ethical impacts.
LO6. Apply advanced principles and techniques related to strategy, organizational change and information governance to help organisations effectively maximise value from their data, information assets and technology investments.

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.

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Session	MoA ?	Location	Outline ?
Semester 1 2026	Normal day	Camperdown/Darlington, Sydney	View

Session	MoA ?	Location	Outline ?
Semester 1 2027	Normal day	Camperdown/Darlington, Sydney	Outline unavailable

Session	MoA ?	Location	Outline ?
Semester 1 2020	Normal evening	Camperdown/Darlington, Sydney	View
Semester 1 2021	Normal day	Remote	View
Semester 1 2022	Normal day	Camperdown/Darlington, Sydney	View
Semester 1 2022	Normal day	Remote	View
Semester 1 2023	Normal day	Camperdown/Darlington, Sydney	View
Semester 1 2023	Normal day	Remote	View
Semester 1 2024	Normal day	Camperdown/Darlington, Sydney	View
Semester 1 2025	Normal day	Camperdown/Darlington, Sydney	View

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爆料王

INFS6018: Managing with Data and AI

2027 unit information

Unit details and rules

Managing faculty or University school:

Business (Business School)

Details

Enrolment rules

Learning outcomes

Unit availability

Modes of attendance (MoA)

Disclaimer

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