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Study Mode | FULL TIME,PART TIME |
Level | POST-GRADUATE |
Duration | Full time 1½ Years, Part time 2 Years |
Intake | FEB,MAY,SEPT |
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.
BSc in computing or science & technology: CGPA => 3.00
BSc in computing or science & technology: 2.5 < CGPA < 3.0 (applications will be considered on an individual basis)
BSc in computing or science & technology: CGPA < 2.5 (with minimum 5 years relevant industry experience)
BSc (in non computing or science & technology): Required To Take Pre-requisite Courses
FOR INTERNATIONAL STUDENTS
IGCSE: Minimum pass; OR
MUET: Minimum band 3; OR
IELTS: Minimum band 5.0; OR
TOEFL: Minimum score of 550; OR
Any equivalent qualifications recognised by the Malaysian Government
** Validity of test results:
-MUET: 5 years
-IELTS & TOEFL: 2 years
1. CORE COURSES (25 CREDITS)
Algorithms (3 credits)
Discrete structure (3 credits)
Simulation and modelling techniques (3 credits)
Artificial intelligence (3 credits)
Programming language concepts (3 credits)
Master project (10 credits)*
2. UNIVERSITY CORE COURSES (6 CREDITS)
Graduate seminar (1 credit)
Research methodology and academic writing (3 credits)
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)
Complexity theory
Cryptography
Geometric modelling
Computational techniques for science and engineering
3.2 Computer Systems Domain (3 credits for each subject)
Performance analysis of queueing systems
Cloud computing
Information security
Service-oriented architecture
Compiler construction
3.3 Knowledge Systems Domain (3 credits for each subject)
Intelligent multi-agent systems
Data mining
Machine learning
Computational linguistics
3.4 Software Engineering Domain (3 credits for each subject)
Requirements engineering
Software testing and quality assurance
Software design methodologies
Interface design methodology
?
* Master project (10 credits):
Abundant Data Applications, Algorithms, and Architectures
Data Science Research
Information Security and Cryptography
Security of Computer Systems and Support for Digital Democracy
Programming Languages, Software Engineering and Mobile Computing
Machine Learning and Intelligent Systems
Internet of Things
Graphics and Visual Computing
Systems manager
Information analyst
Software engineer
Web engineer
Data warehouse consultant
User interface designer
Systems specialist
IT consultant
Policy advisor
Project manager
Academician?
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