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.

Unit details

Study level:
Credit points:
Unit code:


NIT2171 - Introduction to ICT Management or

NIT2202 - Big Data or

NIT2271 - ICT Change Management

Learning Outcomes

On successful completion of this unit, students will be able to:
  1. Review the current algorithms, methodologies and modelling for ICT business analytics;  
  2. Evaluate various ICT business analytic tools and techniques; and  
  3. Propose a business analytics report to solve practical problems identified in an ICT business project.  


Assessment type Description Grade
Test Knowledge Test 20%
Other Contributions to class discussion 20%
Project Group project on BA solution development 40%
Test Tests 20%

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