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.

Entry Requirements

1. 1. 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

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