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Course Overview

This programme is designed to provide you with advanced skills in artificial intelligence. You will have the opportunity to engage in solving real-world industrial problems using AI techniques. You will also gain a solid foundation in the latest advancements of AI, such as machine learning, robotics, and natural language processing, preparing you for doctoral studies or advanced industry roles.

The assessments consist of coursework, project work, and research assignments that help you build expertise in AI systems development and implementation.

Achievement

Joint Professional Certification from TIBCO Software Inc. upon completion of selected modules.

Curriculum

Pre-Requisite Modules (for non-computing students)
Duration: 1 month (Full-time) / 4 months (Part-time)

• 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.

Entry Requirements

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
   

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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.

Career Prospects

Graduates of the MSc in Artificial Intelligence programme can pursue careers in AI engineering, data science, AI research, and robotics. Some potential roles include:

• AI Engineer
• Data Scientist
• AI Researcher
• Machine Learning Engineer
• Robotics Engineer
• AI Consultant