Working with Big Data

Postgraduate | 2026

Course page banner
area/catalogue icon
Area/Catalogue
INFO 6017
Course ID icon
Course ID
203982
Level of study
Level of study
Postgraduate
Unit value icon
Unit value
6
Course level icon
Course level
6
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
alt
Note:
Course data is interim and subject to change

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.

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A