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

A career-focused online programme that combines theoretical foundations with real-world applications to help you thrive in the fast-growing field of cybersecurity.

Aims

Advance in AI — On Your Terms, Without Compromise

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.

Study smart. Stay relevant. Lead the AI era — from anywhere.

The programme aims to:

  • To directly address the critical industry shortage of highly skilled Al professionals.
  • To empower graduates to transtorm complex, comprehensive data into actionable intelligence and strategic decisions.
  • To develop innovators capable of applying cutting-edge Al and analytics techniques to discover knowledge, solve real-world problems, and achieve organizational goals.

Objectives

Upon successful completion, our graduates will be:

  • Expert Al Solution Architects: Master advanced Al methodologies and techniques to design, develop, and deploy innovative computing solutions for contemporary challenges.
  • Effective Al Leaders & Communicators: Possess the leadership skills and communication prowess to collaborate effectively, articulate complex ideas, and influence diverse stakeholders within any organization.
  • Agile, Lifelong Al Professionals: Cultivate a proactive, entrepreneurial mindset committed to continuous learning, ethical practice, and sustained career success in the dynamic field of Al.

Intakes
Modular (Every month)

Duration
8 Modules , 15-week semesters, minimum 1 year and maximum of 3 years (fulltime) and minimum 2 years and maximum 5 years (part-time)

Location
HELP Damansara

Fees (For Malaysian Students)
N/A

Course Code
(N-DL/0613/7/0057) (07/30) (MQA/PA18347)

Why study Master in Artificial Intelligence (Open & Distance Learning – ODL) at HELP's ELM Graduate School?

ELM is the acronym for Entrepreneurship, Leadership and Management. It reflects the School's understanding of the multifaceted role of both individuals and organisations that at any one time the trinitarian role of entrepreneurship, leadership and management interplays to create, manage and sustain a business over different phases of its life.

The ELM Framework underlies our philosophy of the ELM Graduate School executive education and the way we teach and learn business in the HELP Group. It synthesises relevant theoretical constructs and integrates them into a practical system of decision-making for ELM. It is a useful tool for facilitating thinking out the right business model and strategy execution.

The ELM approach is used in our teaching and learning in the ELM Graduate School. This is the multi-perspective lens that we use to identify, respond and adapt to education, enterprise and execution.

This unique framework shapes our postgraduate programmes and brings depth and practical value to the knowledge and experience that all our students will no doubt gain.

Programme Overview

  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) orequivalent 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.
  • 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