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:
Undergraduate
Credit points:
12
Unit code:
NIT3171

Prerequisites

NIT2171 - Introduction to ICT Management

NIT2202 - Big Data

NIT2271 - ICT Change Management

NIT2171 OR NIT2202 OR NIT2271.

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

Assessment type Description Grade
Test Knowledge Test (1hour) 25%
Project Group project on BA solution development 25%
Assignment Individual assignment reviewing business analytics 50%

Required reading

Lecturer may supply additional/alternative material.

Predictive Analytics Using Oracle Data Miner 1st ed.
Brendan Tierney (2014)
McGraw-Hill

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