UO Big Data Analytics

Undergraduate | 2026

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Area/Catalogue
INFO 3032
Course ID icon
Course ID
207152
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course level icon
Course level
3
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Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
No
University-wide elective icon
University-wide elective course
No
Single course enrollment
Single course enrolment
No
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Note:
Course data is interim and subject to change

Course overview

To provide an overview of the tools and techniques of data analytics for big data, and how these can be used by an organisation. To introduce and use some of the common big data tools.

Course learning outcomes

  • Describe how data analytics on big data can be used within an organisation to improve current processes and decision making, and to enhance the organisation's capabilities or products.
  • Describe the data analytics lifecycle for big data and apply it to constrained problems in big data analytics.
  • Develop an appropriate storage structure for big data sets.
  • Select an appropriate big data analytics tool and apply it to a problem involving big data.
  • Communicate appropriately with professional colleagues through visualisation and report.

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A