Big Data Technologies

Undergraduate | 2026

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Mode
Mode
Your studies will be on-campus, and may include some online delivery
On campus
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Area/Catalogue
ARTI 2000
Course ID icon
Course ID
200154
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Campus
Mawson Lakes, Adelaide City Campus East
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course owner
Course owner
School of Comp Sc & IT
Course level icon
Course level
2
Work Integrated Learning course
Work Integrated Learning course
No
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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
Discipline group A
University-wide elective icon
University-wide elective course
Yes
Single course enrollment
Single course enrolment
Yes

Course overview

This course aims to provide students with a comprehensive understanding of big data technologies and their applications in modern organisations. The main topics covered include an overview of big data technologies, the data analytics lifecycle, selection and application of appropriate big data analytics tools, and common data storage architectures. By the end of this course, learners will acquire the knowledge and skills necessary to describe the role of data analytics in organizational improvement, apply the data analytics lifecycle to solve constrained problems, select and apply big data analytics tools, and describe common data storage architectures. This course prepares students to excel in data science roles and contribute effectively to organisations leveraging big data for strategic decision-making and innovation.

Course learning outcomes

  • Summarise how Big Data concepts can be used within an organisation to improve current processes, improve decision making, and to enhance the organisation's capabilities or products
  • Explain the Big Data analytics lifecycle
  • Describe common data storage architectures and determine the most suitable architecture for a case study
  • Develop a non-relational database by adding structured and unstructured data and query the database
  • Examine appropriate Big Data technologies and apply tools for solving problems involving Big Data
  • Summarise how Big Data concepts can be used within an organisation to improve current processes, improve decision making, and to enhance the organisation's capabilities or products
  • Explain the Big Data analytics lifecycle
  • Describe common data storage architectures and determine the most suitable architecture for a case study
  • Develop a non-relational database by adding structured and unstructured data and query the database

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A

Assumed knowledge

N/A

Textbook(s)

N/A

Inherent requirements

N/A

Other resources

N/A

Assessment

N/A

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The Student Contribution amount displayed below is for students commencing a new program from 2021 onwards. If you are continuing in a program you commenced prior to 1 January 2021, or are commencing an Honours degree relating to an undergraduate degree you commenced prior to 1 January 2021, you may be charged a different Student Contribution amount from the amount displayed below. Please check the Student Contribution bands for continuing students here. If you are an international student, or a domestic student studying in a full fee paying place, and are continuing study that you commenced in 2025 or earlier, your fees will be available here before enrolments open for 2026.