Managing with Big 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
BUSI 6028
Course ID icon
Course ID
201856
Campus icon
Campus
Adelaide City Campus West
Level of study
Level of study
Postgraduate
Unit value icon
Unit value
6
Course owner
Course owner
School of Accounting and Fin
Course coordinator
Course coordinator
Agus Wicaksana
Course level icon
Course level
2
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

Course overview

This course equips students with the knowledge and skills to manage and analyse large-scale data for organisational impact. Students will explore cutting-edge methodologies for processing vast datasets, leveraging Machine Learning algorithms to extract valuable insights, and employing interactive visualisation tools to communicate findings effectively to diverse stakeholders. Through hands-on projects, students will also cultivate the expertise of big data analytics that aligns with organisational objectives, harnessing its potential for strategic advantage. Additionally, they will learn to apply ethical principles to ensure responsible and effective decision-making in organisational contexts.

  • Data Discovery and Explorations
  • From Data to Decisions
  • Strategic Management with Big Data Analytics

Course learning outcomes

  • Analyse large datasets using advanced data processing techniques to achieve accurate and reliable insights
  • Construct interactive visualisations to communicate complex data insights effectively to diverse stakeholders to facilitate informed decision-making and strategic planning
  • Identify and address ethical dilemmas, ensuring responsible and transparent use of data within organisational contexts
  • Leverage machine learning algorithms to enhance predictive modelling accuracy, in alignment with organisational objectives and industry best practices

Availability

Census date Icon
Census date
Fri 27/03/2026
Enrol by date
Enrol by date
Fri 13/03/2026
Last day to W
Last day to W
Fri 10/04/2026
Last day to WF
Last day to WF
Fri 08/05/2026

Class details

Adelaide City Campus West

Class number
Class number 23083
Section
Section SE02
Size
Size 30
Available
Available 7
Dates Days Time Campus Location Instructor
26 Feb - 16 Apr Thursday 10:10am - 1pm Adelaide City Campus West Rowland Rees, RR4-11
7 May - 4 Jun Thursday 10:10am - 1pm Adelaide City Campus West Rowland Rees, RR4-11
Class number
Class number 23084
Section
Section SE03
Size
Size 67
Available
Available 50
Dates Days Time Campus Location Instructor
25 Feb - 15 Apr Wednesday 3:10pm - 6pm Adelaide City Campus West Rowland Rees, RR5-09
6 May - 3 Jun Wednesday 3:10pm - 6pm Adelaide City Campus West Rowland Rees, RR5-09

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 West

Class number
Class number 53124
Section
Section SE02
Size
Size 30
Available
Available 27
Dates Days Time Campus Location Instructor
4 Aug - 22 Sep Tuesday 9:10am - 12pm Adelaide City Campus West Sir George Kingston, GK5-15
13 Oct - 10 Nov Tuesday 9:10am - 12pm Adelaide City Campus West Sir George Kingston, GK5-15
Class number
Class number 53125
Section
Section SE03
Size
Size 30
Available
Available 28
Dates Days Time Campus Location Instructor
7 Aug - 25 Sep Friday 9:10am - 12pm Adelaide City Campus West Barbara Hanrahan, BH3-12
16 Oct - 13 Nov Friday 9:10am - 12pm Adelaide City Campus West Barbara Hanrahan, BH3-12

Prerequisite(s)

  • must have completed BUSI6022 Fundamentals of Business Analytics

Corequisite(s)

N/A

Antirequisite(s)

N/A

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