ICT Business Analytics and Data Visualisation

Unit code: NIT3171 | Study level: Undergraduate
(Generally, 1 credit = 10 hours of classes and independent study.)
Footscray Park
Online Real Time
VU Brisbane
VU Sydney
NIT2202 - Big Data; or
BAO2001 - Corporate Finance; and
NIT2171 - Introduction to ICT Management; or
NIT2271 - ICT Change Management
(Or equivalent to be determined by unit coordinator)


As the use of big data become increasingly important to businesses, it is essential to analyse the data and provide meaningful view and knowledge to support judgment and action plans. This unit provides students with advanced analytical methodologies and data mining models for ICT business analytics, as well as contemporary techniques to visualise the data for decision support. The content includes data preparation, association rule analysis, classification, clustering, regression, anomaly detection, building analytic models using SQL and data visualisation.

Learning Outcomes

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

  1. Critically review in a group (team work) the current algorithms, methodologies and modelling for ICT business analytics;
  2. Evaluate in a group (team work) the various ICT business analytic tools and techniques;
  3. Review in more depth the current algorithms, methodologies and modelling for ICT business analytics based on the outcome of the student group assignment deliverable;
  4. Tabulate various ICT business analytic tools and techniques for the business interesting points finding from the student group work deliverable; and
  5. Propose a business analytics report to solve practical problems identified in an ICT business project.


For Melbourne campuses

Assessment type: Test
Grade: 40%
2 x Open book tests (Test 1 - 15%, Test 2 - 25%)
Assessment type: Project
Grade: 30%
Group Project on BA solution development
Assessment type: Assignment
Grade: 30%
Case Study Individual Report (15%) (Session 9) Individual Presentation (15%) (Session 10)

Required reading

A list of recommended textbooks will be made available on VU Collaborate.

As part of a course

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

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