Year of Study:	3 - 4
Credit Units:	3
Duration:	45hours
Prerequisites:	AMS2002 Optimisation for Data Science and AMS3640 Data Mining or With the Instructor’s permission and upon endorsement of the relevant Head or Programme Director.

This module provides students with the machine learning methodologies and algorithms for solving real-life problems. Topics selected include supervised learning, unsupervised learning, module evaluation and advanced topics in machine learning. Students are also required to work effectively in a team to complete a project.

Upon completion of this module, students should be able to:

1. examine the importance of machine learning methodologies and algorithms;


2. apply machine learning methodologies and algorithms;


3. examine the strengths and weaknesses and evaluate the effectiveness of machine learning algorithms; and


4. interpret and present the results in a scientific and concise manner; and work effectively in a team and solve real-life problems.