Working with Big Data

Postgraduate | 2026

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Mode icon
Mode
Mode
Your study will be 100% online
100% online
area/catalogue icon
Area/Catalogue
INFO 6017
Course ID icon
Course ID
203982
Campus icon
Campus
Online
Level of study
Level of study
Postgraduate
Unit value icon
Unit value
6
Course owner
Course owner
School of Comp Sc & IT
Course coordinator
Course coordinator
Diana Shah
Course level icon
Course level
6
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.
No
University-wide elective icon
University-wide elective course
No
Single course enrollment
Single course enrolment
No

Course overview

Use big data tools to explore large data sets. Discover practical algorithms used for solving problems when mining of massive datasets. It focuses on parallel algorithmic techniques that are used for large datasets in the area of cloud computing. Furthermore, stream processing algorithms for data streams that arrive constantly, page ranking algorithms for web search, and online advertisement systems are studied in detail.

Course learning outcomes

  • Explain algorithms for big data sets and methodologies in the context of data mining.
  • Interpret algorithms for particular classes of big data problems.
  • Develop and integrate algorithms as a part of software development for mining big data.
  • Presentation and critical review of research outcomes.5Utilise contemporary technologies and practices to effectively handle big datasets.

Availability

Census date Icon
Census date
Fri 20/03/2026
Enrol by date
Enrol by date
Fri 27/02/2026
Last day to W
Last day to W
Mon 13/04/2026
Last day to WF
Last day to WF
Mon 27/04/2026

Class details

Online

Class number
Class number 32014
Section
Section 01OL
Size
Size 500
Available
Available 498
Dates Days Time Campus Location Instructor
- Online ,
Notes:
Available to Master of Data Science (Applied) students only.

Prerequisite(s)

  • must have completed all of COMP5058 Foundations of Computer Science - Python B/INFO5045 Applications of Data Science/INFO5046 Real Data: Modern Methods for Finding Hidden Patterns/MATH5022 OL Mathematical Foundations of Data Science

Corequisite(s)

N/A

Antirequisite(s)

  • must not have completed DATA7203OL Working with Big Data at the University of Adelaide

Assumed knowledge

N/A

Textbook(s)

N/A

Inherent requirements

N/A

Other resources

N/A

Assessment

N/A

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