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, Human Computer Interaction and Enterprise Resource Planning.

ENQUIRE NOW
HOW TO APPLY
DOWNLOAD BROCHURE
DOWNLOAD PROGRAMME FEES

      1. Pass Foundation / Matriculation studies with a minimum of CGPA of 2.00 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 TWO (2) subjects AND a Credit in Mathematics at SPM Level or its equivalent*; OR
      3. Pass A-Level with a minimum of Grade D in any TWO (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. Pass STAM with a minimum grade of Jayyid in any TWO (2) subjects AND a Credit in Mathematics at SPM Level or its equivalent*; OR
      6. Diploma in Computing (Level 4, MQF) or 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
      7. Diploma (Level 4, MQF) in Non-Computing with a minimum CGPA of 2.75 AND a Credit in Mathematics at SPM Level or its equivalent*. Candidates with a CGPA below 2.75 but more than 2.50 can be admitted subject to a through rigorous assessment; OR
      8. Pass DKM /DLKM/DVM in Computing fields with a minimum CGPA of 2.50 subjected to HEP Senate / Academic Board’s approval**; OR
      9. Other relevant & equivalent qualifications recognised by the Malaysian Government. (Candidates can be admitted if their admission qualification contains Mathematics subject(s) equivalent to Mathematics at the SPM level. If it is not equivalent, the reinforcement Mathematics subject equivalent to the SPM level must be offered in the first semester or before enrolment with unconditional offer); OR
      10. 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

*Candidates with a pass in Mathematics at SPM level need to take and pass the reinforcement Mathematics subject that is equivalent to the SPM level. The reinforcement Mathematics subject must be offered in the first semester or before enrolment with unconditional offer.

**DKM/DLKM/DVM candidates may be required to undergo 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 prerequisite.

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 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
          U2
          U3
          U4
          Elective 1
          Elective 2
          Character Building
          Sustainable Society
      • Year 2
        • Human Computer Interaction
          Web Techniques and Application
          System Integration and Architecture
          Computer Security
          Computer Networks
          System Administration and Maintenance
          Data Structures and Algorithms
          Internet of Things (IOT) Fundamental
          Business Intelligence
          Business Statistical Analysis
          Artificial Intelligence Fundamentals
          Elective 3
          Elective 4
          U1
      • Year 3
        • Enterprise Resource planning
          Cloud Computing
          Management of Information Security
          Internet Marketing
          Project Management for Business Analysts
          Data Mining and Machine Learning
          Data Analytics Fundamentals
          Data Storytelling
          Industrial Training
          Project I
          Project II
    • Elective Modules
      • Fundamentals of Digital Competence for Programmers
        Technopreneur Venture
        Technology Transfer
        Organisational Behaviour
        Open Electives (Non-computing course from other faculties)
    • University Subjects
      • U1 – Falsafah dan Isu Semasa (Philosophy and Current Issues)
        U1:
        Local:
        Penghayatan Etika dan Peradaban (Appreciation of Ethics and Civilizations)International:
        Bahasa Melayu Komunikasi 2U2:
        Local:
        Students without credit in BM at SPM Level
        i.Bahasa Kebangsaan A. If the student has taken this course before, he/she must take any other courses in the U2 category**
        Students who obtained credit in BM at SPM Level
        Any other courses in the U2 category***International:
        Any other courses in the U2 category***

        *** Should the student choose to take foreign language, he/she must choose one which he/she has no formal education in.

        U3 – Integrity and Leadership

        U4 – Choose one U4 from the list offered

  • Career Prospects
    • SAP Specialist, Data Scientist, Computer Scientist, IT Auditor, Knowledge Engineer, Business Intelligence Consultant, IT Business Analyst and Web Analyst