虚拟导览
概述
人工智能（AI）正迅速发展，并广泛应用于制造业、医疗保健、物流及智慧城市等领域。随着人工智能在决策支持、自动化及数据驱动创新方面不断进步，社会对能够运用AI技术解决复杂问题的专业人才需求日益增加。
Academic 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;
OR
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
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
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
IELTS Academic
Band 5.0Cambridge English Qualifications and Tests
154TOEFL IBT
Total and Section Score: 3, Total Score: 44+Pearson Test of English
47MUET
Band 3.5Test of English as a Foreign Language (TOEFL) Essentials (Online)
7.5CEFR
B1 (High B1)a first degree from a university where the medium of instruction is English
- 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
人工智能工程师：为制造、医疗、金融及交通等行业设计与实施人工智能解决方案。
本国学生
总费用约：
(without bridging course)
RM 43,680
(with bridging course)
RM 46,080
国际学生
总费用约：
(without bridging course)
RM 64,886
(with bridging course)
RM 67,589
注：
- 此为预估费用，因各国签证处理费和行政费而异。请向各国升学顾问咨询有关费用明细。
- 根据马来西亚政府税务条例，自2025年7月1日起，非马来西亚公民须缴纳6%的服务税。
