Course Overview

The program aims to produce graduates who have developed well-grounded knowledge and skills in industrial automation and machine learning so that they are able to bridge gaps that exist while building cyber-physical systems. A successful student will gain and be able to demonstrate: Readiness for the digital industrial revolution (Industry 4.0) and are readily employable. Bridging the gap in the industry that exists between Engineers who understand the physical systems and Data Scientists. Meeting the needs of the local industry and enabling the local workforce to upskill and/or reskill so that they can make better decisions by analyzing data for better business and technological decisions. Appropriate transferable and practical skills in computer programming, data collection and analysis, problem formulation and solving skills, project management, and communication skills. Collaboration with fellow students via dissertation from other domains so as to carry out large inter-disciplinary projects by integrating individual components/modules.

General Eligibility

Second class lower (2.2) in a relevant engineering, science, or other relevant degree qualification.

Part Time Work Details

Language Requirement

• English Language Entry Requirements: IELTS overall 6.5 or equivalent