Overview
The
UTAR Master of Computer Science offers a unique combination of
scientific and engineering appeal. It provides in-depth knowledge in
computer science and software technologies by discussing advances in
computing, intelligent systems, communication and networking
technologies, databases and software development as well as
mathematical sciences in problem-solving.
It
allows the candidates to perform professional analysis, design,
implementation, testing and documentation of software development.
Computer Science professionals design and build the algorithms and data
structures that lie at the heart of financial transactions, company
management, the internet and world wide web, industrial plant control
and all other computing devices and processes that are so extensively
used in businesses and organisations.
The
Master of Computer Science is a specialised, yet flexible and
challenging programme conducted exclusively as a research-based
mode of study. Throughout
the programme, candidates are encouraged to participate in enhancement
courses such as seminar/talk/workshop/conference, and to attend
organised Lecture Series.
Who should enrol?
The
Master of Computer Science is ideal for candidates who wish to succeed
in a wide variety of technical, managerial, teaching or research
careers that involve computer science, computational or information
technology processes.
Master's Programme by Research
The
research-based programme entails a specific programme of research under
appropriate supervision. Research-based programmes generally have the
objective of training candidates in research methodology and
techniques, and in the critical evaluation of the research work carried
out. Candidates are also required to apply and evaluate methodologies
and techniques.
The
research topic must relate to the discipline which it falls under. The
research work produced in the form of a dissertation must display
original and critical thought and be a significant contribution to
knowledge. For the Master of Computer Science research-based programme,
candidates may choose research areas in (not exhaustive): Distributed
Programming, Pattern Recognition, Image Processing, Machine Learning,
Artificial Intelligence, Software Engineering, Networking Security,
Intelligent Systems, Agent Technology, Web Services, Simulation,
Computation, Embedded Systems, Digital Systems Design, etc.
Duration
Full-time Minimum 1 year; Maximum 4 years
Part-time Minimum 2 years; Maximum 6 years
Medium of Instruction
English Language
Entry Requirements
(a) A Bachelor’s degree with Honours in
related areas from Universiti Tunku Abdul Rahman or any other university
recognised by the Senate; or
(b) An equivalent qualification
from an institution recognized as of comparable status by the Senate; or
(c) A degree or equivalent
with at least two (2) years working experience after obtaining that degree, or
equivalent.
‘two’ (2) years working experience’
means any working experience after obtaining that qualification which period
shall also include practical training and any industrial attachment.
English Requirements:
SPM/O-Level English, minimum C4
Paper-based TOFEL, score > 580
Computer-based TOEFL, score >237
Internet-based Testing (IBT), score >92
International English Language Testing System (IELTS), score > 6.5
English 1119, Credit
MUET, band 4.0 or
American College Testing assessment (ACT), score > 22
Scholastic Assessment Test (SAT), score > 500
English Language Proficiency Test (ELPT), Score > 980
Programme Structure
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Structure
A - By Research (Thesis) : 2 compulsory modules (6 credit hours) + Thesis
Details of Units:
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|
No
|
Unit
Code
|
Unit
Title
|
Type
|
Credit Hours
|
|
1.
|
MECN10100
|
Thesis
|
Core
|
-
|
|
2.
|
MEGG10203
|
Directed Readings in Science and Engineering
|
Compulsory
|
3
|
|
3.
|
MEGG10303
|
Research Methods in Science and Engineering
|
Compulsory
|
3
|
To view progress/flow of study, please click here.
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