Engineering Data Analytics

Postgraduate | 2026

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Area/Catalogue
ENGI 5006
Course ID icon
Course ID
202125
Level of study
Level of study
Postgraduate
Unit value icon
Unit value
6
Course level icon
Course level
1
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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.
Yes
University-wide elective icon
University-wide elective course
Yes
Single course enrollment
Single course enrolment
Yes
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Note:
Course data is interim and subject to change

Course overview

This course aims to equip students with essential concepts of probability theory and statistics, proficiency in applying sampling methods, statistical techniques, data visualisation, and software tools to perform analysis of research and engineering data in real-life situations, and foundational knowledge of protocols, ethics, and procedures for collecting, processing, using, and communicating different forms of data. The course will also introduce basis of modern techniques for data-driven decision support, including machine learning, big data analytics, and model-based optimisation, in research and engineering applications.

Course learning outcomes

  • Critically review data requirements, ethics implications, and data management strategies for real life engineering problems and research projects
  • Design and interpret exploratory data models and analysis
  • Identify and apply appropriate data processing methods and statistical analysis models for hypotheses testing on real life engineering and research datasets
  • Critically review, present, and report on the results of data analysis
  • Identify and interpret modern data analytics techniques for decision support in research and engineering applications

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A

Degree list
The following degrees include this course