ICT Business Analytics and Data Visualisation

Unit code: NIT3171 | Study level: Undergraduate
Credit points
12
(Generally, 1 credit = 10 hours of classes and independent study.)
Location
Footscray Park
Online Real Time
VU Brisbane
VU Sydney
Prerequisites
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)
Overview
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Overview

As the use of big data becomes increasingly important to businesses, it is essential to analyse the data and provide meaningful views and knowledge to support judgments 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 to support decision. 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.

Assessment

For Melbourne campuses

Assessment type: Test
|
Grade: 10%
Introductory concepts of business analytics techniques and agile methodologies
Assessment type: Project
|
Grade: 35%
Business Analytics Solution Development (Group)
Assessment type: Case Study
|
Grade: 35%
Case Study on data analytics and result visualisation (Individual)
Assessment type: Exercise
|
Grade: 20%
Solving Scenario-based Business Analytics problems using various data analytic and visualisation techniques

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):

Bachelor of Cyber Security
NBCS | Bachelor degree | Duration: 3 years
Bachelor of Data Science
NBDS | Bachelor degree | Duration: 3 years

Refer to the course page for information on how to apply for the course. VU takes care to ensure the accuracy of this unit information, but reserves the right to change or withdraw courses offered at any time. Please check that unit information is current with the Student Contact Centre.

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