Multi-Source Data Analytics

Postgraduate | 2026

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Area/Catalogue
COMP 5030
Course ID icon
Course ID
201690
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
Discipline group A
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 will equip students with advanced skills to analyse and integrate data from diverse sources, including IoT devices, applying these insights to develop innovative solutions for real-world challenges in the technology sector.

  • Introduction To Multi-Source Data Analytics
  • Data Integration Techniques
  • Real-Time Data Processing And Analytics

Course learning outcomes

  • Analyse and integrate the fundamentals of IoT and the IoT data analytics lifecycle to design innovative data-driven solutions
  • Develop and implement advanced techniques for integrating and preprocessing multi-source data, addressing complex data heterogeneity and quality challenges
  • Apply and adapt advanced data wrangling and analysis techniques to develop innovative solutions for multi-source data challenges
  • Design and implement comprehensive IoT data pipelines and develop advanced analytical solutions for real-world scenarios, demonstrating the ability to create effective solutions

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A

Assessment

Skills Demonstration, Interactive Questions, Annotated Bibliography, Learning Journal, Oral Defence, Learning Journal

Degree list
The following degrees include this course
Master of Data Science