Data Analytics for Cyber Security

Unit code: NIT3202 | Study level: Undergraduate
12
(Generally, 1 credit = 10 hours of classes and independent study.)
Footscray Park
Online Real Time
VU Sydney
NIT2102 - Cyber Security Essentials and
NIT2202 - Big Data
(Or equivalent to be determined by unit coordinator)
Overview
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Overview

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.

Assessment

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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