Big Data, Machine Learning and Data Visualisation for Cyber Security

Undergraduate | 2026

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Area/Catalogue
INFO 1001
Course ID icon
Course ID
200112
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course level icon
Course level
1
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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

The aim of this course is to teach the essential knowledge and skills to effectively utilise data analytics and visualisation tools within the realm of cyber security. By focusing on understanding big data fundamentals, machine learning techniques, and data visualisation methods, learners will gain proficiency in collecting, interpreting, and visualising data to solve intricate cyber security challenges. Through this course, students will develop the capability to apply data analytics tools and techniques to identify, analyse, and mitigate cyber security threats and vulnerabilities, thereby enhancing their analytical and communication skills within a cyber security context.

  • Introduction To Big Data, Machine Learning, And Cybersecurity
  • Machine Learning Techniques For Cybersecurity

Course learning outcomes

  • Describe the fundamentals of big data and its relevance to cyber security
  • Apply machine learning algorithms and techniques for cyber security applications
  • Effectively communicate insights from cyber security data
  • Apply data analytics tools and techniques to identify cyber security threats and vulnerabilities

Prerequisite(s)

Corequisite(s)

N/A

Antirequisite(s)

N/A