Bachelor of Computer Science (Hons.) Artificial Intelligence new-icon

Faculty of Information Science and Technology (FIST)

(R3/481/6/0786) 08/28 (A4187)

As computer systems increase their complexity and sophistication, the demand for intelligent advanced applications also increases in proportion. It is now common practice to incorporate intelligent capabilities in the design of any computer application, from web-based intelligent search engines to standalone intelligent applications. The objective of this three-year degree programme is to equip students with the necessary knowledge and skills required to be successful in building the much-needed intelligent computer systems.

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  • Entry Requirements
        1. Pass in Foundation or Matriculation studies from a recognised institution with a minimum CGPA of 2.00; OR
        2. A pass in STPM with a minimum of Grade C (CGPA 2.00) in any TWO (2) subjects or any equivalent qualification; OR
        3. A pass in STAM with a minimum grade of Jayyid in any TWO (2) subjects;

          AND a credit in:

          a. Additional Mathematics at SPM Level or its equivalent;
          OR
          b. Mathematics and any one of the Science, Technology or Engineering subjects at SPM Level or its equivalent*;

          OR

        4. Pass STPM in Science Stream or its equivalent with a minimum of Grade C (GP 2.00) inclusive of Mathematics and one Science / ICT subject; OR
        5. Pass A-Level with a minimum of Grade D in Mathematics and one Science / ICT subject; OR
        6. Pass UEC with a minimum of Grade B in at least five (5) subjects inclusive of Mathematics, English and one Science / ICT subject; OR
        7. 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 internal evaluation process; OR
        8. 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 2.00 may be admitted subject to a thorough internal evaluation process; OR
        9. Pass DKM /DLKM/DVM in Computing fields with a minimum CGPA of 2.50 subjected to HEP Senate / Academic Board’s approval. Candidates with CGPA below 2.50 but more than 2.00 must have at least two (2) years of work experience in the related field or may be admitted subject to a thorough internal evaluation process**;

    Note:

    * Candidates for category (b) need to take a reinforcement Mathematics with appropriate topics in the discipline of Computer Science, Data Science or Software Engineering at the beginning of the study.

    Students are required to pass the reinforcement Mathematics as a prerequisite 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 the Reinforcement Mathematics, provided that the Mathematics offered at that programme level is equivalent / more than the Additional Mathematics offered at an SPM level.

    ** DKM/DLKM/DVM candidates may be required to undergo Bridging Programme as an additional requirement.

    • Programme Structure
      • Core
        • Year 1
          • Mathematical Techniques
            Computer Programming
            Database Systems
            Operating Systems
            Discrete Mathematics and Probability
            Computer Architecture and Organisation
            Data Communications and Networking
            Ethics and Professional Conducts
            U2
            U3
            U4
        • Year 2
          • Data Structures and Algorithms
            Object Oriented Programming
            System Analysis and Design
            Technopreneur Venture
            Human Computer Interaction
            Machine Learning
            Software Engineering Fundamentals
            Web Techniques and Application
            Pattern Recognition
            Industrial Training
            Programming Language Concept
            Artificial Intelligence Fundamentals
            Elective 1
        • Year 3
          • Project
            Computational Intelligence
            Computer Networks
            Expert Systems
            Computer Vision
            Natural Language Processing
            Algorithm Design and Analysis
            Semantic Web Technology
            Elective 2
            Elective 3
            Elective 4
            U1
      • Elective Subjects (Choose any 4 subjects)
        • Project Management for Business Analysis
          Introduction to Bioinformatics
          Cloud Computing
          Applied Cryptography
          Data Analytics Fundamentals
          Data Mining and Machine Learning
          Internet of Things Fundamentals
          Data Wrangling and Visualization
          Management of Information Security
          Business Statistical Analysis
      • University Subjects
        • U1 – MPU3113 Hubungan Etnik AND MPU3123 Tamadun Islam dan Tamadun Asia (Local) – MPU3143 Bahasa Komunikasi 2 AND MPU3173 Pengajian Malaysia 3 (International)
          U2 – Subject code starts with MPU32XX (for local student who got exemption in SPM Bahasa Melayu & for International Students). MPU3210 Bahasa Kebangsaan A (for local student without credit in SPM Bahasa Melayu)
          U3 – Subject code starts with MPU33XX
          U4 – Subject code starts with MPU34XX
    • Career Prospects
      • Data Scientist, Intelligent Software Developer, AI Consultant, Knowledge Engineer, Software Engineer, and Web Analyst.