Master in Artificial Intelligence
A career-focused programme that combines theoretical foundations with real-world applications to help you thrive in the fast-growing field of cybersecurity.
Why study Master in Artificial Intelligence 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, MQF) in Artificial Intelligence/Computing/Science, Technology and Engineering fields with a minimum CGPA of 2.50, as accepted by the HEP Senate; OR
- 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
- 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
- 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
- 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
- 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