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More Than Just An Artificial Intelligence Master Programme
APU's Master of Science in Artificial Intelligence programme is designed to provide you an edge with the latest technologies that are in line with the Industrial Revolution 4.0.
Learn MoreRequirements
Entry Requirements
- Bachelor’s degree in Computing or related fields with a minimum CGPA of 2.50, or its equivalent qualification as accepted by the Senate.
- Bachelor’s degree in Computing or related fields with a minimum CGPA of 2.00 and not meeting a CGPA of 2.50 can be accepted, subject to a rigorous internal assessment.
- Bachelor’s degree in non-related fields with a minimum CGPA of 2.00 as accepted by the Senate and with relevant working experience, subject to a rigorous internal assessment.
- Bachelor’s degree in non-related fields with a minimum CGPA of 2.00 as accepted by the Senate and without relevant working experience, subject to passing pre-requisite courses.
* Applicants without a Computing-related Bachelor’s degree must pass the pre-requisite modules to continue with the Master’s Degree.
Note: The above entry requirements may differ for specific programmes based on the latest programme standards published by Malaysian Qualifications Agency (MQA).
- IELTS : 5.5
NVIDIA
APU AI Supercomputing Lab - Powered by NVIDIA Supercomputers
APU is establishing a next-generation AI Supercomputing Lab with a cluster of NVIDIA DGX Sparks Units designed to provide students with access to cutting-edge AI infrastructure typically found only in major research centres and technology companies.
Each DGX Spark unit is powered by the NVIDIA GB10 Grace Blackwell Superchip featuring 128 GB LPDDR5x unified memory allowing students and researchers to run, train, and fine-tune Large Language Models (LLMs) with up to 200 billion parameters locally.
The NVIDIA DGX Spark is also adopted by top universities such as Stanford, Harvard, Arizona State University, Mississippi State University, and the University of Delaware. Details from Nvidia Blog : https://blogs.nvidia.com/blog/dgx-spark-higher-education
Ride the Wave of Agentic AI
APU's Master of Science in Artificial Intelligence is leading the next wave of AI education by embedding Agentic AI as a core pillar of its curriculum, rather than as a standalone topic. Building on the foundations of Generative AI, students learn to design autonomous AI agents capable of planning, reasoning, making decisions, collaborating with other AI agents, and executing complex real-world tasks with minimal human intervention. The curriculum emphasises handson learning, industry-driven projects, and applied problem-solving, enabling students to develop practical expertise with the tools, frameworks, and technologies used in modern AI-powered enterprises. Through close collaboration with industry and a strong focus on deployment-ready skills, APU prepares graduates who are not only technically proficient but also equipped to drive innovation and lead the next generation of AI transformation.
- Explainable Artificial Intelligence
- Intelligent Agents and Multi-Agent Systems
- Generative Artificial Intelligence
Ride the Wave of AI
Agentic AI
Asia Pacific University’s postgraduate programmes are Leading the Next Wave of AI Experts with Agentic AI, embedding this emerging paradigm as a core pillar of its academic vision rather than a standalone module. Building on the foundations of Generative AI, APU advances into Agentic AI to equip students with the ability to design intelligent systems that can plan, decide, and act in real-world environments. The curriculum emphasises hands-on development, industry-driven projects, and applied problem-solving, ensuring graduates gain practical experience with tools and frameworks used in modern enterprises. Through close alignment with industry needs and a strong focus on deployment-ready skills, APU positions itself at the forefront of postgraduate education, shaping professionals who are not only technically proficient but also capable of leading innovation in the evolving AI landscape.
What We Teach
This programme is specifically designed to provide:
- Advanced skills and techniques in artificial intelligence
- Research opportunities to solve meaningful industrial problems with artificial intelligence techniques
- Advanced research opportunities in artificial intelligence in preparation for doctoral studies.
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The Benefits of the Programme
Upon successful completion of this programme, you will be able to:
- Gain hands-on experience to implement Artificial Intelligence (AI) to solve problems.
- Grasp knowledge on a wide range of subject matters ranging from Machine Learning, Robotics to Natural Language Processing.
- Effectively undertake and manage large scale and complex Artificial Intelligence (AI) projects.
- Engage in the design and implementation of Artificial Intelligence (AI) systems of high quality and reliability.
- Appreciate problems and suggest solutions associated with the development of Artificial Intelligence (AI) systems.
- Appreciate how an efficient Artificial Intelligence (AI) technology based infrastructure is a key factor in enabling a business to gain a competitive edge.
- Draw upon the body of knowledge and be able to overcome human limits to solve new problems using Artificial Intelligence (AI).
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Who Should Attend
This programme is geared towards practicing IT/ Computing professionals within industry who seek further formal qualifications in Artificial Intelligence. In addition, professionals and managers who wish to enhance themselves with Artificial Intelligence knowledge and skills to postgraduate level will find this programme attractive. Fresh undergraduate students from Artificial Intelligence/ Software Engineering/ Data Science background will also find this programme worthwhile as a path to further enhance their academic qualifications.
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Modules & Project
This programme comprises 10 coursework modules and a Project. There are 7 compulsory Core Modules (including Research Methodology module) and you will have to choose 3 elective modules from those listed.
Pre-Requisite Modules (For Non-Computing Students)
Duration: 1 month (Full-time) / 4 months (Part-time)- Programming in Python
- Database Fundamentals
- Fundamentals in Artificial Intelligence
- Statistics
Core Modules- Artificial Intelligence
- Image Processing and Computer Vision
- Computational Intelligence Optimization
- Applied Machine Learning
- Deep Learning
- Natural Language Processing
- Research Methodology in Computing and Engineering
- Project Paper
Elective Modules 1 (Choose 1)*
- Business Intelligence Systems OR Multivariate Methods for Data Analysis
Elective Modules 2 (Choose 1)*
- Applied Robotics OR Explainable Artificial Intelligence
Elective Modules 3 (Choose 1)*
- Intelligent Agents and Multi-Agent Systems OR Generative Artificial Intelligence
* Elective modules may be pre-selected for students at the beginning of the semester. If students wish to change these pre-selected elective modules, they can choose from the available modules offered in the semester OR among the intensive delivery modules – however such changes may prolong the study duration. -
Project Paper
You will be expected to conduct effective research in relation to Artificial Intelligence for both academic and industry purposes. Either route will require you to plan and conduct effective academic research, and produce one academic paper, consultancy report or academic paper in relation to an aspect of Artificial Intelligence.
Artificial Intelligence is among the important key areas of focus in the era of Industrial Revolution 4.0. Application concepts and skill sets in areas such as Machine Learning, Natural Language Processing (NLP) & Automation are among the key deliverables of this programme, placing you at the forefront of technology, shaping you to be a part of the most demanded workforce of the future.
Global agentic AI market reaches $199.05 billion by 2034
The industry is experiencing unprecedented expansion. According to Precedence Research, the global agentic AI market size will grow from USD 7.55 billion in 2025 to nearly USD 199.05 billion by 2034, with an expected CAGR of 43.84% from 2025 to 2034.
Source: https://www.precedenceresearch.com/agentic-ai-market
RAPID ADOPTION OF AGENTIC AI
Enterprises are quickly embracing AI agents.
Source: Zapier (2025) – AI Agents Survey: https://zapier.com/blog/ai-agents-survey
INDUSTRY ADOPTION SNAPSHOT
Adoption is strongest in data-rich, process-driven industries.
Source: Zapier (2025) – WorldMetrics Agentic AI Statistics 2026
Source: https://www.thestar.com.my/starpicks/2026/03/31/seizing-agentic-ai-opportunity-in-msia
Source: https://zapier.com/blog/ai-agents-survey/?utm_source=chatgpt.com
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The APU Centre Point & Atrium serves as a melting pot of cultures from all over the world. Here, cultural activities are organised regularly at the campus, fostering long-lasting intercultural relationships among APU students, who come from over 130 countries.
Ready, Set, Go.
Whether you are locals or traveling here, we have the options for you to pursue your dreams.
RM42,800
Total for Malaysian
RM45,800
(USD12,050)
Total for International
Programme code : (R/0613/7/0013)(06/29)(MQA/FA11933)
All information is correct at the time of publication, but is subject to change in the interest of continuing improvement.
Note : All fees are payable in Ringgit Malaysia (RM). Any USD amounts indicated by APU are for reference only and are non-binding. The final amount payable is the RM amount stated in the official invoice, and the University will not entertain any claims arising from foreign exchange fluctuations.
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