The MSc in Artificial Intelligence is designed to equip graduates with advanced AI knowledge, practical machine learning skills and research capabilities required to solve real-world industrial challenges. The programme combines theoretical foundations with hands-on applications aligned with Industry 4.0 technologies.

Key Benefits

• Learn advanced Artificial Intelligence concepts and technologies.
• Develop practical skills in Machine Learning, Deep Learning and Intelligent Systems.
• Gain experience using industry-relevant AI tools and frameworks.
• Strong emphasis on applied research and real-world AI problem solving.
• Opportunity to graduate with two master's degrees through the APU–DMU Dual Degree Scheme.
• Curriculum aligned with Industry 4.0 and global AI trends.
• Suitable for graduates and professionals seeking careers in AI, data science and intelligent systems.
• Excellent pathway for doctoral (PhD) studies and AI research. 

Programme Structure

The curriculum combines advanced AI theory, practical implementation and research.

Core Modules

• Artificial Intelligence
• Machine Learning
• Deep Learning
• Natural Language Processing
• Computer Vision
• Intelligent Systems
• Data Mining
• Big Data Analytics
• Research Methodology
• Advanced AI Applications
• Ethics in Artificial Intelligence
• AI for Industry 4.0

Research Component

• Research Project / Dissertation

Disciplines / Specialisations Offered

Students gain expertise in:

• Artificial Intelligence
• Machine Learning
• Deep Learning
• Computer Vision
• Natural Language Processing (NLP)
• Intelligent Systems
• Data Mining
• Big Data Analytics
• Robotics and Intelligent Automation
• AI Ethics
• Predictive Analytics
• Research Methods
• Industry 4.0 Technologies
• AI Strategy and Innovation

Programme Highlights

• APU–DMU Dual Degree Scheme, allowing eligible students to graduate with master's degrees from both APU (Malaysia) and De Montfort University (UK).
• Industry-focused curriculum aligned with Industry 4.0.
• Advanced training in Artificial Intelligence, Machine Learning and Deep Learning.
• Flexible full-time and part-time study options.
• Strong emphasis on applied research and innovation.
• Modern AI laboratories and computing facilities.
• International learning environment with students from more than 130 countries.
• Excellent preparation for AI careers and doctoral research. 

Career Outcomes

Graduates are prepared for careers including:

• Artificial Intelligence Engineer
• Machine Learning Engineer
• AI Research Scientist
• Data Scientist
• Deep Learning Engineer
• Computer Vision Engineer
• Natural Language Processing (NLP) Engineer
• Robotics Engineer
• AI Solutions Architect
• Intelligent Systems Developer
• AI Consultant
• Business Intelligence Specialist
• Research Scientist
• AI Product Manager
• University Lecturer or PhD Researcher

Latest Updates (2026)

• Full-time intakes are available in August 2026 and November 2026, while part-time intakes are available in August 2026 and October 2026.
• Eligible students can enrol in the APU–De Montfort University (DMU) Dual Degree Scheme, allowing them to receive two master's degree certificates upon graduation.
• The curriculum continues to emphasise Industry 4.0 technologies, Artificial Intelligence, Machine Learning, Deep Learning and advanced research to meet increasing global demand for AI professionals.

Special Requirements

• Applicants should possess a recognised bachelor's degree in Computing or a related discipline.
• Applicants from unrelated disciplines may be required to complete prerequisite modules before admission.
• A laptop capable of running AI development tools and machine learning frameworks is strongly recommended.
• Successful completion of the research project/dissertation is compulsory for graduation.

Visa Requirements (International Students)

International students enrolling in the full-time MSc in Artificial Intelligence programme must obtain a Malaysian Student Pass before commencing studies.

The application generally requires:

• Valid passport
• APU Offer Letter
• Bachelor's degree certificate and academic transcripts
• English language proficiency documents (if applicable)
• Passport-sized photographs
• Student Pass application through Education Malaysia Global Services (EMGS)
• Medical examination
• Medical insurance
• Issuance of the Student Pass and i-Kad after arrival in Malaysia