Big Data Analysis and Project

Postgraduate | 2026

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area/catalogue icon
Area/Catalogue
COMP 5040
Course ID icon
Course ID
203311
Level of study
Level of study
Postgraduate
Unit value icon
Unit value
6
Course level icon
Course level
5
Study abroad and student exchange icon
Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
No
University-wide elective icon
University-wide elective course
No
Single course enrollment
Single course enrolment
No
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Note:
Course data is interim and subject to change

Course overview

The purpose of this course is to help you further develop your data science skills and knowledge, as well as demonstrate autonomy, initiative and accountability by completing a medium-scale data science project using real-world datasets. This project will entail assessing, selecting and applying relevant data science techniques, principles and theory to a data science problem. You will consider the nature of your data and identify any social or ethical concerns, as well as appropriate ethical frameworks for data management. As part of this learning experience, you will develop, hone and demonstrate your professional communicative competence.

Course learning outcomes

  • Apply data analysis principles and theory to process and analyse real-world big data.
  • Evaluate data analysis techniques by them applying real-world datasets using benchmark metrics.
  • Develop algorithms based on learnt techniques for the statistical analysis of big data.
  • Identify project goals, develop project milestones and execute them accordingly.
  • Analyse known industry studies and simulate assessment by following industry standards.

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A