Bachelor of Computer Science (Hons.) new-icon

Faculty of Computing and Informatics (FCI)

(R2/481/6/0531) 02/25 (A5830)

This three-year programme equips students with fundamental computing knowledge and the latest technology. In year 1, all students learn common subjects before specialising in one of the following areas – Software Engineering, Game Development, Data Science or Cybersecurity – in the second year. Each designed specialisation prepares students with specific skills. Students will also complete a final year project and undergo industrial training to acquire practical industry experience.

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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
          • Calculus
            Programming Fundamentals
            Discrete Structures & Probability
            Professional Development
            Computational Methods
            Object Oriented Programming & Data Structures
            Computer Architecture & Organisations
            Database Fundamentals
            Research Methodology in Computer Science
            U2
            U4
        • Year 2
          • Software Engineering Fundamentals
            Operating Systems
            Computer Networks
            Object Oriented Analysis & Design
            Algorithm Design & Analysis
            Elective 1
            Industrial Training
            U3
            Programming Language Translation
            Advanced Database
          • Specialisation: Software Engineering
            Software Requirements Engineering
            Software Design
          • Specialisation: Data Science
            Introduction to Data Science
            Statistical Data Analysis
          • Specialisation: Cybersecurity
            Cybersecurity Fundamentals
            Network Security
        • Year 3
          • Final Year Project
            Elective 2
            Elective 3
            U1
            U1
            Workplace Communication
          • Specialisation: Software Engineering
            Software Reliability & Quality Assurance
            Software Verification & Validation
            Specialisation Elective 1
            Specialisation Elective 2
          • Specialisation: Game Development
            Game Algorithms
            3D Game Programming
            Specialisation Elective 1
            Specialisation Elective
          • Specialisation: Data Science
            Data Mining
            Data Visualisation
            Specialisation Elective 1
            Specialisation Elective 2
          • Specialisation: Cybersecurity
            Cryptography and Data Security
            Ethical Hacking and Penetration Testing
            Specialisation Elective 1
            Specialisation Elective 2
      • Specialisations:
        • Software Engineering:
          Focuses on designing and developing software systems with innovative methodologies and sophisticated tools. Students are exposed to various techniques of analysing user requirements and specifications, as well as the design, implementation and verification of software system.
        • Game Development:
          Integrates fundamental concepts of software engineering with both technical and creative aspects of game design and development. Students are exposed to various types of game production – from 2D to 3D, and from virtual to augmented reality game projects.
        • Data Science:
          Focuses on designing and developing solutions to draw useful insights from the availability of large volumes of data, known as Big Data. Students will receive fundamental training in computer science theories and learn techniques on the processing of Big Data for analytics that can be impactful to business.
        • Cybersecurity:
          Built on the technical foundation of computer science, the specialization focuses on the array of sophisticated techniques and innovative approaches used to protect data and information systems. Students are exposed to both offensive and defensive security methodologies such as ethical hacking, digital forensics and network security, as well as policies and ethical issues of cybersecurity.
      • Specialisation Elective Modules
        • TWO (2) subjects should be taken from the following based on specialisation:
        • Software Engineering
          Theory of Computation
          Programming Language Translation
          Introduction to Formal Methods
          Software Evolution Maintenance
        • Game Development
          Game Production
          Game Physics
        • Data Science
          Data Management
          Visual Information Processing
          Social Media Computing
        • Cybersecurity
          Digital and Computer Forensic
          Database and Cloud Security
          Blockchain and Smart Contracts
      • Elective Modules
        • THREE (3) subjects should be taken from the following:
        • Systems Analysis & Design
          Concepts of Programming Languages
          Programming Language Translation
          Theory of Computation
          Artificial Intelligence
          Parallel Processing
          Web Application Development
          Computer Security
          Introduction to Formal Methods
          Software Evolution & Maintenance
          Game Physics
          Game Design Fundamentals
          Introduction to Data Science
          Visual Information Processing
          Data Management
          Data Mining
          Social Media Computing
          Advanced Database
          Cybersecurity Fundamentals
          Cryptography and Data Security
          Ethical Hacking and Penetration Testing
          Blockchain and Smart Contracts
      • University Subjects
        • U1 – TITAS (Local) or Pengajian Malaysia III (International)
          U1 – Hubungan Etnik (Local) or BM Komunikasi II (International)
          U2 – Bahasa Kebangsaan or Foreign Language Beginners
          U3 – Business and Entrepreneurship in Malaysia
          U4 – Co-curriculum
    • Career Prospects
      • Career Prospects: Researcher, Programmer, Software Development, Project Manager, System Analyst, Database Administrator, IS/SE Consultant, Game Producer, Game Artist & Visualiser, Data Analyst, Data Scientist, Data Engineer, Cyber Risk Analyst, Security Penetration Tester, Incident Responder, Digital Forensic Specialist, Security Architect, Security Engineer.