Bachelor of Computer Science (Hons.) Artificial Intelligence

As computer systems become more complex, the demand for intelligent applications grows. From web-based search engines to standalone AI-driven solutions, integrating intelligence into software is now an industry standard.

This three-year programme equips students with the knowledge and skills needed to develop intelligent computer systems. Built on a strong foundation of Computer Science and Information Technology, it covers core AI concepts, including programming language principles and computational intelligence. Students will also explore advanced AI applications such as Computer Vision, Natural Language Processing, and Data Analytics, preparing them for the evolving tech landscape.

Career Prospects

• Computer Scientist
• Knowledge Engineer
• Software Engineer
• Systems Analyst
• Programmer

Entry Requirements

• Pass Foundation or Matriculation studies from a recognised institution with a minimum CGPA of 2.00; OR

• Pass STPM (Arts Stream) or its equivalent with a minimum of Grade C (CGPA 2.00) in any TWO (2) subjects or any equivalent qualification; OR

• Pass STAM with a minimum grade of Jayyid in any TWO (2) subjects; OR

• Any Diploma in Science and Technology (Level 4, MQF) with a minimum CGPA of 2.75. Candidates with a CGPA below 2.75 but more than 2.50 can be admitted subject to a thorough rigorous assessment; OR

• Pass A-Level with a minimum of Grade D (CGPA 2.00) in any TWO (2) subjects;

  • AND a credit in:
    • Additional Mathematics at the SPM level or its equivalent; OR
    • Mathematics and any one of the Science, Technology or Engineering subjects at SPM level or its equivalent. Candidates need to take and pass the reinforcement Mathematics equivalent to Additional Mathematics at the SPM level. The subject must be offered in the first semester or before enrolment with an unconditional offer; OR

• Pass STPM (Science Stream) or its equivalent with a minimum Grade of C (GP 2.00) in Mathematics subject and ONE (1) Science / ICT subject; OR

• Pass A-Level with a minimum of Grade D in Mathematics and ONE (1) Science / ICT subject; OR

• Pass UEC with a minimum of Grade B in at least FIVE (5) subjects (inclusive of Mathematics, English and one Science / ICT subject); OR

• Diploma in Computing (Level 4, MQF) or its equivalent with a minimum CGPA of 2.50. Candidates with a CGPA below 2.50 but more than 2.00 may be admitted subject to a thorough rigorous assessment; OR

• Pass DKM / DLKM / DVM in Computing fields with a minimum CGPA of 2.50 subjected to HEP Senate / Academic Board’s approval*; OR

• Other relevant & 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. If it is not equivalent, reinforcement Mathematics subject equivalent to the SPM level must be offered in the first semester or before enrolment with an unconditional offer); OR

• Possess an APEL.A certificate from MQA for admission into Bachelor programmes. For more information, please visit https://www.mmu.edu.my/apel-a/

Note:

• DKM/DLKM/DVM candidates may be required to undergo a Bridging Programme as an additional requirement.
• 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 a pre-requisite.
• Reinforcement Mathematics can contribute to the overall graduating credit.
• Students from Matriculation/Foundation or its equivalent can be exempted from taking reinforcement Mathematics, provided that the Mathematics offered at that programme level is equivalent / more than the Additional Mathematics offered at an SPM level.

Programme Structure

Core
Year 1

• Computer Architecture and Organisation
• Data Communications and Networking
• Computer Programming
• Database Systems
• Operating Systems
• System Analysis and Design
• Ethics and Professional Conducts
• Discrete Mathematics and Probability
• Elective 1
• Elective 2
• U2
• U3
• U4
• Character Building
• Sustainable Society

Year 2

• Human Computer Interaction
• Software Engineering Fundamentals
• Web Techniques and Application
• Programming Language Concept
• Artificial Intelligence Fundamentals
• Data Structures and Algorithms
• Computer Networks
• Semantic Web Technology
• Machine Learning
• Computer Graphics
• Data Analytics Fundamentals
• Elective 3
• Elective 4
• U1

Year 3

• Parallel Computing
• Algorithm Design and Analysis
• Data Wrangling and Visualization
• Natural Language Processing
• Cloud Computing
• Expert Systems
• Computational Intelligence
• Computer Vision
• Industrial Training
• Project I
• Project II

Elective Subjects (Choose any 4 subjects)

• Fundamentals of Digital Competence for Programmers
• Technopreneur Venture
• Technology Transfer
• Organisational Behaviour
• Open Electives (Non-computing course from other faculties)