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

Step into the high-demand world of Artificial Intelligence (AI) with University HELP’s Master in Artificial Intelligence programme. Designed to transform ambitious professionals into sought-after Al experts, this program equips you with the advanced skills to harness data, drive innovation, and lead in the rapidly evolving Al landscape. We align with University HELP’s mission to empower graduates who shape industries and communities.

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)
RM 25,000

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

  • A Bachelor’s degree (Level 6 Malaysian Qualifications Framework, MQF) in Computing or related fields with a minimum CGPA of 2. 50, as accepted by the HEP Senate; OR
  • A Bachelor’s degree (Level 6, MQF) 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 thorough rigorous assessment as determined by the HEP; OR
  • A Bachelor’s degree (Level 6, MQF) in Non-Computing field with a minimum CGPA of 2.00 can be accepted subject to a thorough rigorous assessment as determined by the HEP to identity the appropriate prerequisite courses that equivalent to their working experience in the Computing or related fields; OR
  • A Bachelor’s degree (Level 6, MQF) in Non-Computing field with a minimum CGPA of 2. 00 can be accepted subject to appropriate prerequisite courses.

  • 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 Methodolog
  • Project Report
  • Ethics and Cybersecurity
  • Network Security and Cryptography
  • Deep Learning for Computer Vision
  • Natural Language Processing