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Unit of study_
BUSS1104: Data Analytics in Business
2027 unit information
In this unit, students develop foundational data analytical skills that are essential across all areas of business. They learn to think probabilistically, explore data using graphical and numerical techniques, and apply statistical modelling to describe and predict real-world business phenomena. The unit introduces the core concepts of uncertainty, variability, and inference, helping students understand how data can inform effective decision-making. Through hands-on analysis of authentic business datasets, students practise identifying patterns, testing relationships, and communicating insights in clear, evidence-based terms. By the end of the unit, students are able to use the language and methods of statistics to describe, analyse, and draw meaningful conclusions from business data, supporting informed, confident, and evidence-based decision-making in a wide range of business contexts.
Unit details and rules
Managing faculty or University school:
Business (Business School)
| Study level | Undergraduate |
|---|---|
| Academic unit | Business Analytics |
| Credit points | 6 |
|
Prerequisites:
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Completion of BUSS1101 or 18 credit points |
|---|---|
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Corequisites:
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None |
| Prohibitions:
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BUSS1020 or ECMT1010 or ENVX1002 or DATA1001 or DATA1901 |
| Assumed knowledge:
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None |
At the completion of this unit, you should be able to:
- LO1. Classify and compare different types of business data in order to determine the appropriateness of analytical techniques for different business contexts.
- LO2. Apply probabilistic reasoning to evaluate uncertainty and inform decision-making across a range of business scenarios.
- LO3. Analyse business data using industry-standard software to identify patterns and derive actionable insights.
- LO4. Formulate and test hypotheses about business phenomena using appropriate statistical methods and real-world data.
- LO5. Construct and evaluate regression models to understand, explain, and predict key business relationships.
- LO6. Design and present data visualisations that effectively communicate analytical findings and recommendations in a professional business context
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.
There are no availabilities for this year.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
|
Semester 1 2027
|
Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
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Semester 2 2027
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Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
|
There are no availabilities for previous years.
Find your current year census dates
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.
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