As computer systems increase their complexity and sophistication, the demand for intelligent advanced applications also increases in proportion. It is now common practice to incorporate intelligent capabilities in the design of any computer application, from web-based intelligent search engines to standalone intelligent applications. The objective of this three-year degree programme is to equip students with the necessary knowledge and skills required to be successful in building the much-needed intelligent computer systems.
- Entry Requirements
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- • Pass Foundation/Matriculation studies from a recognised institution, AND
(a) a Credit in Additional Mathematics at SPM Level or its equivalent; OR
(b) a Credit in Mathematics AND one Science/Technology/Engineering subject at SPM Level or its equivalent. - Note : Candidate (b) is required to pass the reinforcement of Mathematics subject prior to pursuing to degree programme. However, the reinforcement of Mathematics subject can be exempted if the Foundation/Matriculation studies contain subjects in Mathematics and the achievement is higher or equivalent to the requirement of the Additional Mathematics at SPM level or its equivalent; OR
- • 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
- • Pass A-Level with a minimum of Grade D in Mathematics and one Science / ICT subject; OR
- • Pass UEC with a minimum of Grade B in at least five (5) subjects inclusive of Mathematics, English and one Science / ICT subject; OR
- • Diploma in Computer Science OR Software Engineering OR Information Technology OR Information Systems OR equivalent and any Diploma in Science and Technology from recognised institution with a minimum CGPA of 2.50. Candidates with CGPA below 2.50 may be admitted subject to a rigorous internal assessment process; OR
- • 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.;
*Note: DKM /DLKM/DVM candidates may be required to undergo Bridging Programme as an additional requirement.
- • Pass Foundation/Matriculation studies from a recognised institution, AND
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- Programme Structure
- Core
- Year 1
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- Mathematical Techniques
Computer Programming
Database Systems
Operating Systems
Discrete Mathematics and Probability
Computer Architecture and Organisation
Data Communications and Networking
Ethics and Professional Conducts
U2
U3
U4
- Mathematical Techniques
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- Year 2
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- Data Structures and Algorithms
Object Oriented Programming
System Analysis and Design
Technopreneur Venture
Human Computer Interaction
Machine Learning
Software Engineering Fundamentals
Web Techniques and Application
Pattern Recognition
Industrial Training
Programming Language Concept
Artificial Intelligence Fundamentals
Elective 1
- Data Structures and Algorithms
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- Year 3
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- Project
Computational Intelligence
Computer Networks
Expert Systems
Computer Vision
Natural Language Processing
Algorithm Design and Analysis
Semantic Web Technology
Elective 2
Elective 3
Elective 4
U1
- Project
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- Elective Subjects (Choose any 4 subjects)
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- Project Management for Business Analysis
Introduction to Bioinformatics
Cloud Computing
Applied Cryptography
Data Analytics Fundamentals
Data Mining and Machine Learning
Internet of Things Fundamentals
Data Wrangling and Visualization
Management of Information Security
Business Statistical Analysis
- Project Management for Business Analysis
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- University Subjects
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- 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
- U1 – MPU3113 Hubungan Etnik AND MPU3123 Tamadun Islam dan Tamadun Asia (Local) – MPU3143 Bahasa Komunikasi 2 AND MPU3173 Pengajian Malaysia 3 (International)
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- Career Prospects
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- Data Scientist, Intelligent Software Developer, AI Consultant, Knowledge Engineer, Software Engineer, and Web Analyst.