Bachelor of Computer Science (Hons.)

(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. 1. 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
          Integrity and Leadership
          U4
          Character Building
          Sustainable Society
      • Year 2
        • Software Engineering Fundamentals
          Operating Systems
          Computer Networks
          Object Oriented Analysis & Design
          Algorithm Design & Analysis
          Industrial Training
          U2
        • Specialisation: Software Engineering
          Software Requirements Engineering
          Software Design
        • Specialisation: Game Development
          Computer Graphics Fundamentals
          Game Design Fundamentals
        • Specialisation: Data Science
          Data Science Fundamentals
          Statistical Data Analysis
        • Specialisation: Cybersecurity
          Cybersecurity Fundamentals
          Network Security
      • Year 3
        • Final Year Project
          Elective 1
          Elective 2
          Elective 3
          Elective 4
          U1
          U1
          Fundamentals of Digital Competence for Programmers
        • 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 2
        • 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
      • Four (4) subjects should be taken from the following:
        Consumer Trends
        Creativity and Innovation
        Becoming A Leader
        Corporate Training
        Professional Image and Etiquette
        Corporate Communication
        Corporate Strategy
        Design Thinking for Strategic Communication
        Social Media Strategies
        Film Appreciation
        Basic Filmmaking
        Suspenseful Filmmaking
        Fundamental of Wireless Communications
        Communications Networks
        Radio Network Planning Towards 5G
        Internet & Mobile Application
        Media Anthropology
        Media Law
        Project Management
        Motion Capture
        Information Visualization
        Visual & Corporate Identity
        Accounting for Decision Making
        Management
        Personal Finance
        Fundamentals of Marketing
        Digital Transformation Strategy
        Digital Transformation Technologies
        Ergonomics and Human Factor
        Machine Vision
        IoT Design and Interfacing
        Radio Network Planning Towards 5G
        Digital Business
        Business Information Systems
        Data Analytics for Businesses
        Cyber Security
        Understanding Management
        Fundamentals of Marketing
        Financial Management
        Data Analytics for Businesses
        Business Risk Management
        Consumer law
        Labour Law
        Law and Economics
        Environmental Law
        Law of Banking
    • 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.