Unit of Study COMP3010 Applied Big Data Analytics (2027)

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Unit Snapshot

Unit type

UG Coursework Unit
Credit points

12
Faculty & College

Faculty of Science and Engineering
Placement

No

Anti-requisites

ISYS2002 - Data Wrangling and Advanced Analytics

Unit description

This unit focuses on applying statistical and machine learning techniques to analyse large and complex datasets. Students learn scalable data analysis techniques, exploratory analytics, and predictive modelling using modern big data tools and technologies.

Unit content

Foundations of Big Data Analytics
Large-Scale Data Processing and Management
Data Wrangling and Feature Engineering for Big Data
Exploratory Analytics and Visualisation
Machine Learning for Large Datasets
Applied Big Data Analytics Case Studies

Availabilities

Not currently available in 2027

Learning outcomes

Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.

On completion of this unit, students should be able to:

analyse large-scale datasets using scalable data analytics tools and techniques

perform exploratory data analysis and feature engineering to prepare large and complex datasets for modelling

apply machine learning methods to analyse and model large real-world datasets

interpret and communicate analytical results using visualisation and reporting techniques to support data-driven decision making.

Fee information

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