Unit of study_

SMBA6003: Data Analytics and Modelling

2026 unit information

One of the most significant developments associated with the digital revolution is the increased availability of data. For managers and leaders in contemporary organisations, the ability to effectively analyse and draw useful inferences from data is critical. It is also important that managers can communicate complex interrelationships found in the data to senior management in a way that maximises the possibility that it can lead to favourable and sustainable change. Access to and use of data is critical to organisations in their need to effectively respond to a more volatile economic and financial environment, and Government intervention and regulation.Superior data analytic and modelling capabilities are increasingly seen as a source of competitive advantage, both for business and for employees working within business. This unit of study can deliver this competitive advantage in at least six distinct ways - (1) it will reveal the type of internal data that an organisation must compile for effective decision making; (2) it will identify the external data that must be used in combination with the internal data, and where that external data is sourced; (3) it will analyse the tools and modelling techniques that can be used to draw timely and relevant insights from a range of different forms of data; (5) it will examine how these tools and modelling techniques can be practically applied across a range of organisational settings; and (6) it will demonstrate how any findings should be communicated to time-poor senior management. As part of this unit of study, students will be given the opportunity to work with real-world data sets and case studies, and to apply those data sets to their own and other organisations.

Unit details and rules

Managing faculty or University school:

Business (Business School)

Study level Postgraduate
Academic unit Management Education
Credit points 6
Prerequisites:
? 
None
Corequisites:
? 
SMBA6001
Prohibitions:
? 
None
Assumed knowledge:
? 
None

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

  • LO1. Develop evidence-based business recommendations to solve complex problems, drawing on appropriate data, analytical techniques and ethical considerations
  • LO2. Predict the impact of external factors emanating from the world economy on the company’s performance using appropriate modelling techniques.
  • LO3. Communicate complex ideas to senior management using appropriate communication styles and evidence-based recommendations with empirically-defensible analytical techniques.
  • LO4. Collaborate with colleagues and peers to solve complex data-related problems using innovative tools and solutions while arriving at a consensus among peers.

Unit availability

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Session MoA ?  Location Outline ? 
Semester 1 2026
Normal evening Castlereagh St, Sydney
Session MoA ?  Location Outline ? 
MBA Session 1 2020
Normal evening Castlereagh St, Sydney
Semester 2 Early 2020
Normal day Castlereagh St, Sydney
MBA Session 1 2021
Normal day Castlereagh St, Sydney
MBA Session 1 2021
Normal day Remote
Intensive June - July 2021
Block mode Castlereagh St, Sydney
Intensive June - July 2021
Block mode Remote
MBA Session 1 2022
Normal evening Castlereagh St, Sydney
MBA Session 1 2022
Normal evening Remote
Session 2 Early Census 2022
Normal evening Castlereagh St, Sydney
Session 2 Early Census 2022
Normal evening Remote
Session 2 Early Census 2023
Normal evening Castlereagh St, Sydney

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Modes of attendance (MoA)

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