Multi-Source Data Analytics

Postgraduate | 2026

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Mode
Mode
Your studies will be on-campus, and may include some online delivery
On campus
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Area/Catalogue
COMP 5030
Course ID icon
Course ID
201690
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Campus
Mawson Lakes, Adelaide City Campus East
Level of study
Level of study
Postgraduate
Unit value icon
Unit value
6
Course owner
Course owner
Mathematical Sciences
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Course level
5
Work Integrated Learning course
Work Integrated Learning course
No
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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

In the course, students will explore the dynamic field of collecting, analysing, and integrating data from diverse sources, including GPS, sensors, and Internet of Things (IoT) devices.

Students will engage in practical, hands-on projects and real-world case studies to master sophisticated techniques for data integration and real-time processing. By synthesising and applying advanced data analysis tools, students will address challenges related to data heterogeneity and develop innovative solutions for industry-specific problems.

Upon completion, students will have the expertise to design and implement comprehensive data-driven strategies, demonstrating their ability to drive innovation across various sectors.

  • 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

Degree list
The following degrees include this course