Master of computer science
Fees Structure, Admission, Intake & Deadline
Course Intake
Overview
Programme overview
This programme produces computer scientists with sufficient specialised computing and scientific expertise who can work effectively in multidisciplinary teams to communicate innovative ideas that improve the quality of life.
Academic Requirements
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BSc in computing or science & technology: CGPA => 3.00
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BSc in computing or science & technology: 2.5 < CGPA < 3.0 (applications will be considered on an individual basis)
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BSc in computing or science & technology: CGPA < 2.5 (with minimum 5 years relevant industry experience)
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BSc (in non computing or science & technology): Required To Take Pre-requisite Courses
English Language Requirements
FOR INTERNATIONAL STUDENTS
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IGCSE: Minimum pass; OR
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MUET: Minimum band 3; OR
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IELTS: Minimum band 5.0; OR
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TOEFL: Minimum score of 550; OR
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Any equivalent qualifications recognised by the Malaysian Government
** Validity of test results:
-MUET: 5 years
-IELTS & TOEFL: 2 years
Programme Outline
KEY COURSES
1. CORE COURSES (25 CREDITS)
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Algorithms (3 credits)
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Discrete structure (3 credits)
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Simulation and modelling techniques (3 credits)
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Artificial intelligence (3 credits)
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Programming language concepts (3 credits)
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Master project (10 credits)*
2. UNIVERSITY CORE COURSES (6 CREDITS)
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Graduate seminar (1 credit)
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Research methodology and academic writing (3 credits)
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Fundamental issues in computing (2 credits)
3. ELECTIVE COURSES (9 CREDITS) – CHOOSE 3 SUBJECTS ONLY
3.1 Algorithms and Theory Domain (3 credits for each subject)
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Complexity theory
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Cryptography
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Geometric modelling
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Computational techniques for science and engineering
3.2 Computer Systems Domain (3 credits for each subject)
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Performance analysis of queueing systems
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Cloud computing
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Information security
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Service-oriented architecture
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Compiler construction
3.3 Knowledge Systems Domain (3 credits for each subject)
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Intelligent multi-agent systems
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Data mining
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Machine learning
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Computational linguistics
3.4 Software Engineering Domain (3 credits for each subject)
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Requirements engineering
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Software testing and quality assurance
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Software design methodologies
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Interface design methodology
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* Master project (10 credits):
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Abundant Data Applications, Algorithms, and Architectures
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Data Science Research
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Information Security and Cryptography
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Security of Computer Systems and Support for Digital Democracy
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Programming Languages, Software Engineering and Mobile Computing
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Machine Learning and Intelligent Systems
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Internet of Things
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Graphics and Visual Computing
Career Prospects
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Systems manager
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Information analyst
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Software engineer
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Web engineer
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Data warehouse consultant
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User interface designer
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Systems specialist
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IT consultant
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Policy advisor
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Project manager
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Academician?