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 (NIT3171) 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

Online Real Time
Study level:
Credit points:
Unit code:


NIT2202 - Big Data or

BAO2001 - Corporate Finance and

NIT2171 - Introduction to ICT Management or

NIT2271 - ICT Change Management

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.  


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

Where to next?

As part of a course

This unit is studied as part of the following courses. Refer to the course page for information on how to apply for the course.

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