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Master of Artificial Intelligence

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City University Malaysia

Master of Artificial Intelligence

university icon
City University Malaysia

Master of Artificial Intelligence

Qualification
Master's Degree
Duration
1 years
Intake
JanJanMayMaySepSep
English Requirement
IELTS 6.0
Offer Letter
Free
Class Type
Physical
Course Fee for International Students
Yearly Tuition fees
Year Fee
1st YearMYR 40,000
Other Fees
Description Fee
INTERNATIONAL FEEMYR 8,000
COMPLETION PROCESSING FEE MYR 1,000
RESOURCE FEE (Per Semester)MYR 500
VISA & APPLICATION FEE (EMGS)MYR 3,810
University fees for this course do not include 6% tax (SST)

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City University Malaysia ?

The Master of Artificial Intelligence at City University Malaysia is designed to equip students with advanced knowledge and expertise in the dynamic field of Artificial Intelligence (AI). This programme aims to develop professionals capable of designing, implementing, and managing AI-driven solutions to address real-world challenges.

The curriculum combines strong theoretical foundations with practical applications, ensuring that graduates are well-prepared to make meaningful contributions to industry, academia, and research. Students will gain in-depth knowledge of core AI domains, including machine learning, deep learning, natural language processing, computer vision, and AI ethics.

Additionally, the programme integrates research components and industry-based case studies, enhancing students' analytical, problem-solving, and decision-making skills. This approach empowers graduates to lead innovation in the rapidly evolving landscape of Artificial Intelligence.

Entry Requirements

  • A Bachelor’s Degree (Level 6, MQF) in Computing or related fields with a minimum CGPA of 2.50, as accepted by the Higher Education Provider (HEP) Senate.

For other qualifications and certificates (e.g.,Other qualifications equivalent to a Bachelor’s degree , etc..) please contact our educational consultants or submit your application for Admission assessment.

Subject Offered*

  • Computer Vision
  • Responsible AI & Ethics
  • Machine Learning and Optimization
  • Advanced Artificial Intelligence
  • Natural Language Processing
  • Research Methods and Problem Solving
  • Deep Learning
  • Seminar on AI Applications
  • Project 1
  • Project 2
 
Students without an IT background are required to complete prerequisite subjects before commencing the course.

Prerequisite courses:

  1. Computational Thinking: Python
  2. Object-Oriented Programming
  3. Discrete Mathematics
  4. R Programming
  5. Database System
  6. Intelligence Responsible AI and Ethics

Elective Courses

  • Advanced Generative Artificial Intelligence
  • Quantum Computing
  • Risk Management and Threat Intelligence
  • Strategic Green IT and Sustainable Digital Solutions

 

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