Master in Artificial Intelligence

Overview

The Master in Artificial Intelligence at ºìÐÓÊÓÆµ University offers a distinctive learning experience driven by state-of-the-art facilities, impactful research, and a vibrant academic community. Students benefit from a dedicated AI and Machine Learning Lab equipped with high-performance GPU-powered systems, NVIDIA Jetson Nano, and IoT prototyping kits to support hands-on learning in real-world applications.

Uniquely, the programme also offers access to NVIDIA GPU-accelerated computing on AWS for scalable AI model development, giving students access to industry-relevant tools and infrastructure.

The programme offers several courses in artificial intelligence that align with Malaysia’s national digital transformation agenda, enabling the nation to strengthen its capabilities as a regional hub for digital innovation and smart technology.

ºìÐÓÊÓÆµ University’s Master in Artificial Intelligence develops graduates to be AI specialists with:

  • Advanced knowledge, enhanced technical skills, and strong numeracy abilities to employ relevant quantitative information for developing innovative AI-based solutions to solve real-world and scientific problems.
  • The capability to use various digital tools and techniques for innovative AI-based solutions.
  • Effective communication and collaborative skills with stakeholders in managing business ventures and projects.
  • The ability to contribute to industry and society through professional skills and ethics, applying AI-based solutions while engaging in lifelong learning and continuous professional development.
Intakes
September
Duration
1 Year (full-time)
2 Years (part-time)
Career Prospects
  • AI Data Analyst
  • AI Ethics Specialist
  • AI Research Scientist
  • Cybersecurity Analyst
  • Data scientist
  • Machine Learning Engineer
  • Research scientist
  • Robotics Engineer
  • Software Architect
  • Software Engineer
Estimated Total Course Fee
  • RM48,500
    for Malaysian students
  • USD11,278
    for international students
International students must pay their fees in RM equivalent. The USD here is just an indicative/estimation and subject to the prevalent exchange rate

Programme Structure

Semester 1

Advances in Deep Learning
Applied Machine Learning
Digital Image Processing for Computer Vision
Ethics in AI
Machine Learning Operations (MLOps)
Research Methodology

Semester 2

Project 1

Semester 3

Project 2

Elective Tracks (Choose 3)

Swarm Intelligence and Evolutionary Computation
AI Applications for Networking and Security
Natural Language Processing with Conversational AI
AI in Software Engineering
AI in Robotics

Areas of Research

Deep Learning
Digital Image Processing for Computer Vision
Swarm Intelligence
Natural Language Processing
AI in Software Engineering
AI in Robotics
Image
Student studying

Entry Requirements

  1. A Bachelor’s Degree in Computing or related fields with a minimum CGPA of 2.50, as accepted by the Academic Senate; OR
  2. A 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 internal assessment; OR
  3. A Bachelor’s Degree in a Non-Computing field with a minimum CGPA of 2.00 can be accepted, subject to internal assessment to identify the appropriate prerequisite courses that are equivalent to the candidate’s working experience in Computing or related fields; OR
  4. A Bachelor’s Degree in a Non-Computing field with a minimum CGPA of 2.00 can be accepted subject to passing appropriate prerequisite courses; OR
  5. Other qualifications equivalent to a Bachelor’s Degree in Computing or related fields recognised by the Government of Malaysia must fulfil the requirement of item i or ii; OR
  6. An APEL.A Certification at APEL T-7.

English Requirements (International Students)

  • IELTS or equivalent: 6.0

Contact Information

For more information, please email @email 

Scholarships and Financial Aid

For more information about the scholarships and financial aid, please visit the .

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