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Level 17, The Bousteador No.10, Jalan PJU 7/6, Mutiara Damansara 47800 Petaling Jaya, Selangor, Malaysia
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EasyUni Sdn Bhd

Level 17, The Bousteador No.10, Jalan PJU 7/6, Mutiara Damansara 47800 Petaling Jaya, Selangor, Malaysia
4.4

(43) Google reviews

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MSc in Computer Science (By Research)

Course overview

Statistics
Qualification Master's Degree
Study mode Full-time, Part-time
Duration 2 years
Intakes January, July
Tuition (Local students) $ 10,488
Tuition (Foreign students) $ 11,377

About

The Master of Science in Computer Science (by Research) programme will train students to carry out research in current and emerging fields within the Information Technology industry. With the aim of expanding a student's intellect by nurturing advanced knowledge in specialist technical subject areas, our focus is to enable students to lead future developments be it in industry or in academia.

Our students will be integrated as members of our research groups at Sunway University with various opportunities to participate in research alongside experienced supervisors through seminars, workshops, laboratory experiments and fieldwork.

Graduates of the Master of Science in Computer Science (by Research) will have competencies in theory and practice of ICT and Computer Science. They will be well-equipped with analytical and problem-solving skills to work as senior consultants or in managerial positions in their field of study.

On successful completion of the programme, the graduates will also be awarded with a degree from Lancaster University. They will be awarded two certificates, making them graduates of both Sunway University and Lancaster University.

Admissions

Intakes

Fees

Tuition

$ 10,488
Local students
$ 11,377
Foreign students

Estimated cost as reported by the Institution.

Application

$ 33
Local students
$ 157
Foreign students

Student Visa

$ 539
Foreign students

Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.

Entry Requirements

Bachelor’s Degree

A Bachelor’s Degree in Computing with minimum CGPA of 3.00 or equivalent

APEL.A

An APEL.A Certificate (APEL T-7) (Recognition of Prior Learning) (Click on this link for further information on APEL.A)

Other Qualifications

Any other qualifications will be considered on a case-to-case basis and subject to the approval and acceptance by University Senate.

 

English Language Requirements

  • IELTS 6.0 or equivalent

Note: Candidates who have completed a Bachelor's degree or equivalent in English would have met the language requirement.

Curriculum

Research Methodology

Students will have an opportunity to examine research designs with methodology as well as data analysis techniques employed by researchers. At the end of this module, candidates will be expected to formulate and submit a proposal for research in an area of their own interest or specialisation.

Directed Readings

 

This module will provide students with comprehensive reading lists and resources to help them develop their hypothesis or areas of interest. Library skills and training on how to manage information and resources will also be introduced in this module.

Thesis

The MSc is awarded based on the successful completion of a thesis. The thesis should demonstrate proficiency, criticality and mastery in the subject or chosen area of research. 

Areas of Research

Our academics have expertise in the following research areas ( But not limited to ):

For other research areas, do write in to our contacts listed below.

  • Artificial Intelligence (AI)
  • Embedded Systems/IoT
  • Cybersecurity & Blockchain
  • Robotics & Drones
  • Big Data & Data Analytics
  • Embedded Systems and Applications
  • Visual Sensor Network
  • Sensing & Signal Processing
  • Machine Learning & Human Factors
  • Power Systems

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