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Unit of study_
ITLS6111: Spatial Analytics
2025 unit information
Enterprises can access increasing volumes of spatial data (associated with time and space) drawn from a variety of sources including the internet of things, sensors, mobile phone locations and other diverse and unlinked data sets. Managing these data to create useful management insights is a demanding task, and spatial data analysis presents a unique set of challenges and opportunities. Effective management and analysis of spatial data provides strategic value for organisations, across logistics, transport, marketing and other business functions, allowing enterprises to manage strategic challenges in sustainability and resilience. This unit uses real-world data and problem-based learning to develop hands-on experience with managing, processing and modelling spatial data and ultimately drawing insights for business decisions linked to both distribution and supply chain interactions. Students develop highly marketable skills in spatial data analytics that are transferable across a broad range of industries and sectors. These skills include the ability to generate a range of outputs, including decision support systems, maps and visualisations that effectively communicate complex information to support strategic, tactical and operational decision making. This unit utilises a widely-used spatial software package and introduces Geographic Information Systems (GIS), spatial databases and structured query language (SQL).
Unit details and rules
Managing faculty or University school:
Business (Business School)
| Study level | Postgraduate |
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| Academic unit | Transport and Logistics Studies |
| Credit points | 6 |
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Prerequisites:
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None |
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Corequisites:
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None |
| Prohibitions:
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ITLS6107 or TPTM6180 |
| Assumed knowledge:
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Basic knowledge of Excel is assumed. |
At the completion of this unit, you should be able to:
- LO1. Develop appropriate methodologies to analyse spatial data to effectively address real world problems
- LO2. Explain the key concepts and process of spatial analytics as well as the value of spatial analytics to enterprises and other organisations
- LO3. Evaluate alternative approaches to spatial data analysis and recommending appropriate solutions to business problems
- LO4. Communicate persuasively using maps and visualisations to support organisational decision making
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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Semester 1 2024
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Normal day | Camperdown/Darlington, Sydney | |
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Semester 2 2024
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Normal day | Camperdown/Darlington, Sydney |
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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Semester 1 2025
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Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
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Semester 2 2025
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Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
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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.
Important enrolment information
Additional advice
This unit will use R programming language to perform statistical analyses and spatial analyses. No prior programming knowledge is required.
