RU THE NEXT
AI EXPERT?
Bachelor of Information Systems (Honours) in Artificial Intelligence*
study pathway
Bachelor of Information Systems (Honours) in Artificial Intelligence*
MASTER OF BUSINESS ADMINISTRATION
1 Year 4 Months / Part-Time
DOCTOR OF PHILOSOPHY IN BUSINESS ADMINISTRATION
3 - 6 Years / Part-Time
BACHELOR OF INFORMATION SYSTEMS (HONOURS)
IN ARTIFICIAL INTELLIGENCE*
MQA/FA12436 | KPT/N/482/6/0194 | (02/2025)
Our Bachelor of Information Systems (Honours) in Artificial Intelligence aims at cultivating Artificial Intelligence (AI) practitioners with the ability to apply fundamental in mathematics, logic and theoretical AI knowledge for analysing, modelling, designing, developing, and evaluating AI solutions. The programme exposes students to knowledge of artificial intelligence, including but not limited to neural networks, computer vision, and natural language processing. Through our exclusive industry network, students engage in real-world projects to enhance their practical skills. This immersive experience equips graduates not only with theoretical knowledge but also practical expertise, ensuring they excel in the dynamic field of Artificial Intelligence.
Programme Length: 3 Years
Programme Credit: 120 Credit Hours
Intakes: January / May / September
*The Programme name subject to change pending MQA approval.
Career Opportunities
Bachelor of Information Systems (Honours)
in Artificial Intelligence*
– AI Specialist
– Software Analysts and Developers
– Machine Learning Researcher
– Data Scientist
– Algorithm specialists
– Business Intelligence Developer
– Big Data Architect
– Information System Manager
– System Analyst
– Information Security Analyst
Programme Modules
Bachelor of Information Systems (Honours) in Artificial Intelligence*
– Information Technology Essentials – Principles of Computer Programming – Discrete Mathematics – Critical Thinking – System Analysis and Design | – Computer Organisation and Architecture – Databases – Operating Systems – Algorithms – Web Programming | – Computer Networks |
– Software Engineering – Data Processing and Visualisation – Philosophy and Current Issue – Statistics for Artificial Intelligence – Deep Learning Fundamentals | – Computer Security | – Ethics and Professional Practice in Computing |
– Project I – Entrepreneurship and New Business Development – Knowledge Representation – Deep Neural Network Architectures – Integrity and Anti-Corruption | – Project II – Parallel and Distributed Computing – Elective 2 | – Professional Attachment |
– Marketing – Fundamentals of Management –Business Communication | – Emotion and Motivation – Cyber Psychology | – Introduction to Multimedia – Game Design |
*The programme module structure shown on this page is based on Intake A. The module is subject to change.
*The MPU Modules are translated to English. Please visit [here] for the original module name.
Prof. Dr Sasa ARSOVSKI
Faculty Dean of AI & Robotics
Our Bachelor of Information System (Honours) in Artificial Intelligence* is aimed to cultivate an Artificial Intelligence (AI) practitioners with the ability to apply fundamental mathematical knowledge and logic, and scientific and theoretical AI knowledge in analysing, modelling, designing, developing and evaluating AI solutions.
Entry Requirements
Bachelor of Information Systems (Honours) in Artificial Intelligence*
i. STPM (Science Stream): Pass with grade C (CGPA 2.00) in Mathematics subject and ONE Science / ICT subject
ii. STPM (Arts Stream): Pass with grade C in any 2 subjects AND (a)
iii. A Level: Full Pass in 2 subjects AND (a)
iv. UEC: Grade B in 5 subjects including Mathematics and ONE Science / ICT subject
v. STAM: Pass with minimum grade of Jayyid in any 2 subjects AND (a)
vi. Matriculation/ Foundation: min CGPA 2.0 AND (a)
vii. Diploma in Science and Technology: min. CGPA of 2.75. Candidate with CGPA 2.50 to 2.75 can be admitted subject to a thorough rigorous assessment AND (a)
(a) Additional Requirement
- Credit in Additional Mathematics at the SPM level or its equivalent OR
- Credit in Mathematics and any one of the Science, Technology or Engineering subjects at SPM level or its equivalent. Candidates need to pass the Reinforcement Mathematics equivalent to Additional Mathematics at the SPM level. The subject must be offered in first semester or before enrolment with unconditional offer. [Not applicable to International Candidates]
viii. Diploma in Computing fields (MQF Level 4): Pass with minimum CGPA of 2.50. CGPA 2.00 to 2.50 can be admitted subject to a thorough rigorous assessment
ix. Diploma Kemahiran Malaysia (DKM) / Diploma Vokasional Malaysia (DVM) / Diploma Lanjutan Kemahiran Malaysia (DLKM) in Computing fields: minimum CGPA of 2.50 subjected to HEP Senate / Academic Board’s approval
x. Other relevant and equivalent qualifications recognised by the Malaysian Government.
- Candidates can be admitted if their admission qualification contains Mathematics subject (s) equivalent to Additional Mathematics at the SPM level. [Not applicable to International Candidates]
- If it is not equivalent, Reinforcement Mathematics subject that equivalent to the SPM level must be offered in the first semester or before enrolment with unconditional offer
Refer to Note
- Students are required to pass the Reinforcement Mathematics before being allowed to take related core courses. The candidate can sit for any subjects that did not indicate Mathematics as prerequisite
- Reinforcement Mathematics can contribute to the overall graduating credit.
- Students from Matriculation / Foundation or its equivalent can be exempted from taking the Reinforcement Mathematics, provided that the Mathematics offered at that programme level is equivalent / more than the Additional Mathematics offered at an SPM level.
- [Not applicable to International Candidates]
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