Master in Engineering (Applied Artificial Intelligence)

Program Overview

Artificial Intelligence (AI) is rapidly growing and widely used in manufacturing, healthcare, logistics, and smart city applications. With the developments of AI in decision-making, automation and data-driven innovation there is an increasing demand for professionals capable of implementing AI solutions for complex challenges. This programme is inspired by the latest developments in machine learning, robotics, and IoT; as well as feedback from industry stakeholders emphasising the need for application-focused AI expertise. This programme is designed for students who would like to establish their academic achievements in both AI research and engineering practices, meeting global workplace needs and emerging technological trends.

Key Modules

1Research Methodology

2Engineering Applications of Deep Neural Networks

3Industry Internet of Things (IIoT) and Data Analytics

4Engineering Generative AI and Language Systems

5Human-Computer Interaction (HCI) for Intelligent Systems

6Data-Driven Systems Engineering and Decision Support

7Ethics in Artificial Intelligence

8Cyber-Physical and Advanced Sensing Systems

9Intelligent Robotic and AI-Driven Automation Systems

10Cloud Computing and Edge Intelligence

11Cybersecurity for Intelligent System

12Master Project 1

13Master Project 2

Entry Requirements

A Bachelor's Degree [Malaysian Qualifications Framework (MQF) level 6] in Engineering, Engineering

Technology and Technology or other relevant fields with evidence of computing-related subjects,

with a minimum Cumulative Grade Point Average (CGPA) of 2.50 or equivalent, as accepted by the

University Senate;

A Bachelor's Degree (MQF, level 6) in Engineering, Engineering Technology and Technology or other

relevant fields with evidence of computing-related subjects, with a minimum CGPA of 2.00 and not

meeting a CGPA of 2.50, can be accepted subject to rigorous internal assessment;

A Bachelor's of Science Degree or its equivalent (non-engineering or engineering technology or

technology) with a minimum CGPA of 2.00 as accepted by the Higher Education Provider (HEP)

Senate and with relevant working experience, subject to a rigorous internal assessment;

technology) with a minimum CGPA of 2. 00 as accepted by the HEP Senate and without relevant

working experience, subject to passing appropriate prerequisite modules in Engineering and

Engineering Technology.

Academic Requirements

English Language Requirements

For International Students

Cambridge Linguaskill

Cambridge English Qualifications and Tests

Total and Section Score: 3, Total Score: 44+

Pearson Test of English

Test of English as a Foreign Language (TOEFL) Essentials (Online)

a first degree from a university where the medium of instruction is English

Master in Engineering (Applied Artificial Intelligence)

Program Overview

Key Modules

Entry Requirements

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