Data Analytics for Cyber Security

Unit code: NIT3202 | Study level: Undergraduate
(Generally, 1 credit = 10 hours of classes and independent study.)
Footscray Park
Online Real Time
VU Brisbane
VU Sydney
NIT2102 - Cyber Security Essentials; and
NIT2202 - Big Data
(Or equivalent to be determined by unit coordinator)


This unit explores the essential knowledge and skills of data science and big data analytics, in particular, their applications into cyber security. Content includes: in-depth study of large-scale data management, processing, mining, curation, and analysis; and, big data technologies.

Learning Outcomes

On successful completion of this unit, students will be able to:

  1. Adapt appropriate data analytics methodologies and tools to generate the business intelligence;
  2. Implement data analytics techniques using a current programing language;
  3. Design analytics solutions to achieve cyber security; and
  4. Demonstrate IT professionalism and evaluate the ethical issues related to information security, privacy, and data management.


For Melbourne campuses

Assessment type: Laboratory Work
Grade: 30%
Practical Lab Work (3)
Assessment type: Test
Grade: 20%
Test (1)
Assessment type: Assignment
Grade: 30%
Mini Project
Assessment type: Presentation
Grade: 20%
Group work

Required reading

Lecturer may supply additional reading material.

As part of a course

This unit is studied as part of the following course(s):

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