Master in Artificial Intelligence (Open & Distance Learning – ODL)

The Master of Artificial Intelligence (ODL) at HELP University brings world-class AI education directly to you — wherever you are, whenever you are ready. Designed for working professionals, career switchers, and lifelong learners, this programme delivers the same rigorous academic curriculum as our conventional track, structured for the flexibility that modern life demands.

Our aim is to remove the barriers that stand between ambitious individuals and an advanced AI education. Through a rich blend of online lectures, interactive digital resources, virtual collaboration, and guided self-paced study, learners develop the same high-calibre competencies in machine learning, data intelligence, and AI system design — without having to set aside their careers or relocate.

Upon completion, graduates will be equipped to build and evaluate intelligent systems, apply AI ethically and responsibly across industries, and lead transformation in their organisations from day one. With the freedom to study on your schedule backed by the full academic support of HELP University, this programme is proof that excellence and flexibility are not a trade-off.

Entry Requirements

1. A Bachelor’s degree (Level 6, MQF) in Artificial Intelligence/Computing/Science, Technology and Engineering fields with a minimum CGPA of 2.50, as accepted by the HEP Senate; OR
2. A Bachelor’s degree (Level 6, MQF) in Artificial Intelligence/Computing/Science, Technology and Engineering fields with a minimum CGPA of 2.00 and not meeting a CGPA of 2.50 can be accepted subject to a thorough rigorous assessment as determined by the HEP; OR
3. A Bachelor’s degree (Level 6, MQF) in Artificial Intelligence/Computing/Science, Technology and Engineering fields with a minimum CGPA of 2.00 can be accepted subject to a thorough, rigorous assessment as determined by the HEP to identify the appropriate prerequisite courses that are equivalent to their working experience in the Artificial Intelligence or related fields; OR
4. A Bachelor’s degree (Level 6, MQF) in non-Artificial Intelligence/Computing/Science, Technology and Engineering fields with a minimum CGPA of 2.50 can be accepted subject to a thorough, rigorous assessment as determined by the HEP to identify the appropriate prerequisite courses; OR
5. A Bachelor’s degree (Level 6, MQF) in non-Artificial Intelligence/Computing/Science, Technology and Engineering fields with a minimum CGPA of 2.50 can be accepted subject to a thorough rigorous assessment as determined by the HEP to identify the appropriate prerequisite courses that are equivalent to their working experience in the Artificial Intelligence or related fields; OR
6. Other qualifications equivalent to a Bachelor’s degree (Level 6, MQF) in Artificial Intelligence/Computing/Science, Technology and Engineering or non-Artificial Intelligence/Computing/Science, Technology and Engineering fields recognised by the Government of Malaysia must fulfil the requirement on item (i) – (v)

English Competency Requirement (International Student)

• Achieve a minimum of Band 4 in Malaysian University English Test (MUET) or equivalent to Common European Framework of Reference for Languages (CEFR) (Low B2).
• If a student does not meet this requirement, the HEP must offer English proficiency courses to ensure that the student’s proficiency is sufficient to meet the needs of the programme.

Core Courses

• Programming for Data Science
• Data Management
• Statistics for Data Management
• Research Methods
• Applied Machine Learning
• Dissertation

Additional Modules

• Applied Programming
• Data Management
• Applied Statistics
• Applied Machine Learning
• Research Methodology
• Project Report
• Ethics and Cybersecurity
• Network Security and Cryptography
• Deep Learning for Computer Vision
• Natural Language Processing

Contact the institution for current information.