Unit of study_

DMBA6007: Data Analytics for Strategic Decision Making

2026 unit information

This unit introduces students to the strategic use of data in modern business decision-making. Exploring five essential analytical dimensions—descriptive (what happened), diagnostic (why it happened), predictive (what may happen), prescriptive (how to make it happen), and emerging analytics (the evolving field of analytics) —the unit provides a comprehensive foundation in data analysis methodologies. Designed for those new to data-driven decision making, students will learn to effectively describe, analyse, evaluate, visualise, and communicate data in contemporary business contexts to enhance managerial decision-making. The curriculum balances theoretical frameworks with practical applications, offering both conceptual understanding and hands-on experience with industry-standard tools through structured, interactive workshops. No programming knowledge is required, though familiarity with Excel is necessary. This practical, industry-relevant approach equips students with immediately applicable skills for translating raw data into actionable business intelligence, positioning them to make more informed strategic decisions in today's data-rich business environment.

Unit details and rules

Managing faculty or University school:

Business (Business School)

Study level Postgraduate
Academic unit Business Analytics
Credit points 6
Prerequisites:
? 
None
Corequisites:
? 
DMBA6001
Prohibitions:
? 
None
Assumed knowledge:
? 
None

The learning outcomes for this unit will be available two weeks before the first day of teaching.

Unit availability

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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 ? 
Semester 2 2026
Online Camperdown/Darlington, Sydney
Outline unavailable
There are no availabilities for previous years.

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Modes of attendance (MoA)

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