Master in Engineering (Applied Artificial Intelligence)

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.

Academic Requirements

1. 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;

OR

1. 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;

OR

1. 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;

OR

1. 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 HEP Senate and without relevant working experience, subject to passing appropriate prerequisite modules in Engineering and Engineering Technology.

AND

English Language Requirements

For International Students

• Cambridge Linguaskill: 154
• IELTS Academic: Band 5.0
• Cambridge English Qualifications and Tests: 154
• TOEFL IBT: Total and Section Score: 3, Total Score: 44+
• Pearson Test of English: 47
• MUET: Band 3.5
• Test of English as a Foreign Language (TOEFL) Essentials (Online): 7.5
• CEFR: B1 (High B1)
• A first degree from a university where the medium of instruction is English

Courses Offered

• Research Methodology
• Engineering Applications of Deep Neural Networks
• Industry Internet of Things (IIoT) and Data Analytics
• Engineering Generative AI and Language Systems
• Human-Computer Interaction (HCI) for Intelligent Systems
• Data-Driven Systems Engineering and Decision Support
• Ethics in Artificial Intelligence
• Cyber-Physical and Advanced Sensing Systems
• Intelligent Robotic and AI-Driven Automation Systems
• Cloud Computing and Edge Intelligence
• Cybersecurity for Intelligent System
• Master Project 1
• Master Project 2

• AI engineer: Graduates can design and implement AI solutions for industries such as manufacturing, healthcare, finance and transportation.
• Data scientist: With strong skills in machine learning and data analytics, graduates can analyse complex datasets to support informed decision-making.
• Robotics engineer: Graduates can develop intelligent systems and automation solutions for industries adopting Industry 4.0 technologies.
• AI researcher: Graduates may pursue research roles in academia or industry, contributing to advancements in AI technologies.
• AI consultant: Graduates can provide expert advice on AI integration and optimisation for businesses.
• Cybersecurity specialist: With AI expertise, graduates can develop advanced security solutions to safeguard digital systems.