Bachelor of Information Technology (Hons.) Business Intelligence and Analytics new-icon

Faculty of Information Science and Technology (FIST)

(R3/481/6/0079) 12/25 (MQA/FA15339)

This programme equips students with business intelligence and analytical skills to provide insights and improved decision making to corporations in achieving business agility. The purpose is to produce graduates who are knowledgeable in the components of information technology and data analytics, capable to plan, design, visualise, analyse and interpret business statistical data. Some of the subjects covered in this programme are Data Mining and Machine Learning, IT Project Management for Business Analysts, Business Intelligence, Internet Marketing, Knowledge Intelligence, Information Systems Audit, Human Computer Interaction, Organisational Behaviour, Enterprise Resource Planning and Technology Transfer.


  • Entry Requirements
        1. Pass Foundation / Matriculation studies from a recognised institution and a Credit in Mathematics at SPM Level or its equivalent; OR
        2. Pass STPM or its equivalent with a minimum Grade C (GP 2.00) in any 2 subjects a AND a Credit in Mathematics at SPM Level or its equivalent; OR
        3. Pass A-Level with a minimum of Grade D in any 2 subjects AND a Credit in Mathematics at SPM Level or its equivalent; OR
        4. Pass UEC with a minimum of Grade B in at least five (5) subjects inclusive of Mathematics and English; OR
        5. Diploma in Computer Science OR Software Engineering OR Information Technology OR Information Systems or equivalent with a minimum CGPA of 2.50 AND a Credit in Mathematics at SPM Level or its equivalent. Candidates with CGPA below 2.50 may be admitted subject to a rigorous internal assessment process; OR
        6. Any other Diploma in Science and Technology or Business Studies with a minimum CGPA of 2.5 may be admitted, subject to a rigorous internal assessment process AND a Credit in Mathematics at SPM Level or its equivalent;* OR
        7. Pass DKM /DLKM/DVM with a minimum CGPA of 2.50. Candidates with CGPA below 2.50 MUST have at least two (2) years of work experience in the related field.**


    * Candidates without a Credit in Mathematics at SPM Level or its equivalent may be admitted if
    the qualification contains subjects in Mathematics and the achievement is higher or equivalent to the requirement of the subject at SPM Level or its equivalent.

    ** 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
      • Year 2
        • Data Structures and Algorithms
          Object-Oriented Programming
          System Analysis and Design
          Financial Accounting for Managers
          Computer Networks
          Technopreneur Venture
          Human Computer Interaction
          Organisational Behaviour
          Software Engineering Fundamentals
          Web Techniques and Application
          Business Statistical Analysis
          Industrial Training
          Elective 1
      • Year 3
        • Project
          Information Systems Audit
          Business Intelligence
          Technology Transfer
          Business Process Modelling
          Enterprise Resource Planning
          Internet Marketing
          Project Management for Business Analytics
          Elective 2
          Elective 3
          Elective 4
    • Elective Modules
      • Fundamentals of Marketing
        Artificial Intelligence Fundamentals
        Critical Thinking in Organisation
        Data Analytics Fundamentals
        Internet of Things Fundamentals
        Management of Information Security
        Data Wrangling and Visualization
        Data Mining and Machine Learning
        Algorithm Design and Analysis
        Knowledge Intelligence
        Pattern Recognition
    • 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
    • SAP Specialist, Data Scientist, Computer Scientist, IT Auditor, Knowledge Engineer, Business Intelligence Consultant, IT Business Analyst and Web Analyst