91制片厂

Menu
Follow Us

Master in Artificial Intelligence

(N/0613/7/0071) (02/31) (MQA/PA18874)

Course Information

Mode: Onsite
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)
Intakes: January, April, July, October
Campus: Damansara Heights
Type: Flexible Full-time/Part-time Mode
Level of Study: Masters Degree Level
Field of Study: Computing & IT
Faculty: ELM Graduate School
Format: Onsite

Course Overview

The Master of Artificial Intelligence at HELP University is designed for driven individuals who seek to be at the forefront of one of the most transformative technologies of our time. Through a structured, campus-based learning experience, this programme equips graduates with a deep and rigorous command of AI — from foundational theory to cutting-edge applications.

Our aims are clear: to cultivate critical thinkers and skilled practitioners capable of designing, developing, and deploying intelligent systems that solve real-world problems. Students will engage directly with expert faculty, collaborate with peers from diverse disciplines, and immerse themselves in a vibrant academic environment that mirrors the dynamic nature of the AI industry itself.

By the end of this programme, graduates will be equipped to architect machine learning pipelines, apply natural language processing and computer vision techniques, evaluate AI ethics and governance frameworks, and lead AI-driven innovation in both public and private sectors. Whether you aspire to a career in research, industry, or entrepreneurship, this programme provides the technical depth and professional foundation to take you there.

Curriculum

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

Entry Requirements

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.
  • All fees are in RM (Ringgit Malaysia) currency unless stated otherwise.

Ask About This Course

Download FREE myCourseGuide
马来西亚的高等教育机会
2026 Nursing Intake - KPJ Healthcare University