Multi-Source Data Analytics

Postgraduate | 2026

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Mode icon
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
Campus icon
Campus
Mawson Lakes, Adelaide City Campus East
Level of study
Level of study
Postgraduate
Unit value icon
Unit value
6
Course owner
Course owner
School of Mathematical Science
Course level icon
Course level
5
Work Integrated Learning course
Work Integrated Learning course
No
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.
Yes
University-wide elective icon
University-wide elective course
Yes
Single course enrollment
Single course enrolment
Yes

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

Availability

Census date Icon
Census date
Fri 04/09/2026
Enrol by date
Enrol by date
Fri 21/08/2026
Last day to W
Last day to W
Fri 18/09/2026
Last day to WF
Last day to WF
Fri 16/10/2026

Class details

Adelaide City Campus East

Class number
Class number 59137
Section
Section FR01
Size
Size 180
Available
Available 180
Dates Days Time Campus Location Instructor
4 Aug - 22 Sep Tuesday 2:10pm - 4pm Adelaide City Campus East Playford, PM-06
13 Oct - 10 Nov Tuesday 2:10pm - 4pm Adelaide City Campus East Playford, PM-06
Class number
Class number 59142
Section
Section PR01
Size
Size 40
Available
Available 40
Dates Days Time Campus Location Instructor
5 Aug - 23 Sep Wednesday 12:10pm - 1pm Adelaide City Campus East Helen Mayo South, S127
14 Oct - 11 Nov Wednesday 12:10pm - 1pm Adelaide City Campus East Helen Mayo South, S127
Class number
Class number 59141
Section
Section PR02
Size
Size 40
Available
Available 40
Dates Days Time Campus Location Instructor
5 Aug - 23 Sep Wednesday 4:10pm - 5pm Adelaide City Campus East Ingkarni Wardli, B.23
14 Oct - 11 Nov Wednesday 4:10pm - 5pm Adelaide City Campus East Ingkarni Wardli, B.23
Class number
Class number 59140
Section
Section PR03
Size
Size 40
Available
Available 40
Dates Days Time Campus Location Instructor
5 Aug - 23 Sep Wednesday 3:10pm - 4pm Adelaide City Campus East Ingkarni Wardli, B.15
14 Oct - 11 Nov Wednesday 3:10pm - 4pm Adelaide City Campus East Ingkarni Wardli, B.15
Class number
Class number 59139
Section
Section PR04
Size
Size 40
Available
Available 40
Dates Days Time Campus Location Instructor
6 Aug - 24 Sep Thursday 9:10am - 10am Adelaide City Campus East Helen Mayo South, S127
15 Oct - 12 Nov Thursday 9:10am - 10am Adelaide City Campus East Helen Mayo South, S127
Class number
Class number 59138
Section
Section PR05
Size
Size 40
Available
Available 40
Dates Days Time Campus Location Instructor
6 Aug - 24 Sep Thursday 10:10am - 11am Adelaide City Campus East Helen Mayo South, S127
15 Oct - 12 Nov Thursday 10:10am - 11am Adelaide City Campus East Helen Mayo South, S127

Prerequisite(s)

  • must have completed ARTI6003 Machine Learning Algorithms

Corequisite(s)

N/A

Antirequisite(s)

N/A

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Degree list
The following degrees include this course