Return to previous page

SIT384 - Data Analytics for Cyber Security

Unit details

Year2018 unit information
Enrolment modes:Trimester 1: Burwood (Melbourne), Waurn Ponds (Geelong), Cloud (online)
Credit point(s):1
EFTSL value:0.125
Unit chair:

Tianqing Zhu



Incompatible with:


Contact hours:

Campus: 2 x 1 hour classes per week, 1 x 2 hour practical per week.

Cloud (online): 1 x 1 hour scheduled online workshop per week.


In SIT384 students will learn about the various methodologies used to compromise corporate host and network security as well as techniques to harden corporate computer and network defenses. You will be introduced to the techniques required for data analytics in the context of cyber security including evaluating, classifying, and testing the levels of security in a corporate network by considering the effectiveness of existing security countermeasures and proposing approaches and methods for incident response. Applying appropriate security and penetration testing techniques to obtain results of testing will be a key practical element of this unit.


Group planning report 30%, testing report 20%, examination 50%

Prescribed texts

Conway, 2012, Machine Learning For Hackers, 1st Ed, O'Reilly

Unit Fee Information

Click on the fee link below which describes you:

Return to previous page