Unstructured Data

Undergraduate | 2026

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Area/Catalogue
INFO 3003
Course ID icon
Course ID
200132
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.
Yes
University-wide elective icon
University-wide elective course
Yes
Single course enrollment
Single course enrolment
Yes
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Note:
Course data is interim and subject to change

Course overview

In this course students develop skills in extracting meaning from large unstructured data sets including data wrangling, data integration and fragmentation, unstructured databases: noSQL, document databases and techniques for presenting information such as visualisation.

  • Introduction To Unstructured Data
  • Unstructured Data Analytics Platforms/Technologies
  • Large Unstructured Data Analytics

Course learning outcomes

  • Apply the appropriateness of analytic techniques to different data sets
  • Compare common data storage architectures and determine when a non-relational database architecture should be used
  • Identify types and sources of unstructured data
  • Appraise the ethical considerations of data collections
  • Develop a business case for effective use of large unstructured data to achieve a business objective

Prerequisite(s)

Corequisite(s)

N/A

Antirequisite(s)

N/A