Master of Science in Artificial Intelligence (ODL)

This programme is designed to equip students with advanced knowledge and techniques in Artificial Intelligence (AI), providing them with the opportunity to solve industrial problems and pursue further research. Delivered 100% online under the Open & Distance Learning (ODL) mode, it offers flexible learning tailored for professionals.

General Requirements

Bachelor’s degree

• 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).
 

English Requirements

International Students

• IELTS : 5.5
   

For more information please click HERE

Students from English speaking countries and those with qualifications taught in English (previous Bachelor’s/Master’s Degree taught in English) are exempted from English requirements. Applications for exemption must be accompanied by supporting documents.

Pre-Requisite Modules (for non-computing students)
Duration: 4 months (ODL)
 

• Programming in Python
• Database for Data Science
• Fundamentals in Artificial Intelligence

Core Modules

• Artificial Intelligence
• Image Processing and Computer Vision
• Fuzzy Logic
• Applied Machine Learning
• Computational Intelligence Optimization
• Natural Language Processing
• Research Methodology in Computing and Engineering
• Project Paper

Elective Modules (Choose 3)*
 

• Applied Robotics
• Pattern Recognition
• Expert Systems and Knowledge Engineering
• Business Intelligence Systems
• Multivariate Methods for Data Analysis
• Deep Learning

* 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.

• Software Engineer
• Data Scientist
• AI Researcher
• Machine Learning Engineer
• AI Data Analyst
• Intelligence Specialist
• Artificial Intelligence Analyst
• Deep Learning Scientist
• Machine Vision Engineer
• Robotics R&D Engineer