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Master of Computer Science in Software Engineering (Online)

About

The Master of Computer Science in Software Engineering is a coursework-based postgraduate programme offered by the Faculty of Computing and Informatics. While the programme primarily focuses on software engineering, it is continuously updated to stay aligned with emerging technologies and evolving industry demands. To reflect these advancements, new elective courses such as Security in Computing, Data Mining and Analytics, and High Performance Computing for Big Data have been introduced, especially in response to the growing significance of CyberSecurity and Big Data. This programme also offers students the opportunity to gain exposure to various other areas within the broader field of computer science, beyond software engineering.

 

Key facts

Statistics
Qualification Master's Degree
Qualification Subtype Master of Science (MSc)
Coursework / Research Coursework
Study mode Online
Duration 2 years
Intakes March, October
Total estimated cost (local) $ 3,873
Total estimated cost (foreign) $ 4,217

Subjects

  • Computer Science

  • Computer Science, IT

Duration

2 years

Tuition fees

Description Local students Foreign students
Tuition fee $ 3,873 $ 4,217
Miscellaneous fees Data not available Data not available
Total estimated cost of attendance $ 3,873 $ 4,217
Estimated cost per year $ 1,936 $ 2,108

Miscellanous fees explained

Local students

Description Amount
Admission Fee $ 130
Deposit $ 114
Yearly Student Development Fee $ 45

Foreign students

Description Amount
Admission Fee $ 171
International Processing Fee (Student Visa) $ 653
Deposit $ 114
Yearly Student Development Fee $ 45

Estimated cost as reported by the institution. There may be additional administrative fees. Please contact us for the latest information.

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.

Admissions

Intakes

Entry Requirements

  1. A Bachelor’s degree (Level 6, MQF) in Computing or related fields with a minimum CGPA of 2.50 or equivalent, as accepted by the Senate; OR
  2. A Bachelor’s degree (Level 6, MQF) in Computing or related fields with a minimum CGPA of 2.00 and not meeting CGPA of 2.50 or equivalent, can be accepted subject to a minimum of FIVE (5) years of working experience in the related fields and rigorous internal assessment; OR
  3. A Bachelor’s degree (Level 6, MQF) in non-computing fields with a minimum CGPA of 2.00 or equivalent, must undergo appropriate prerequisite courses as determined by the HEP with minimum of 5 years working experience in the relevant field and rigorous internal assessment; OR
  4. Other qualifications equivalent to a Bachelor’s degree (Level 6, MQF) in the field of Computing or related fields recognised by the Government of Malaysia must undergo appropriate prerequisite courses as determined by the HEP

English Entry Requirement:

  1. a minimum IELTS overall band score of 6.0 ; or
  2. a minimum overall TOEFL iBT score of 60 ; or
  3. a minimum MUET overall band score of 4 ; or
  4. a minimum Pearson Test of English score of 59 ; or
  5. a minimum Cambridge Qualifications and Test score of 169; or
  6. a minimum Linguaskill overall band score of 169

Curriculum

Core Subjects

  • IT Research Methods
  • Software Requirements Engineering
  • Advanced Data Management
  • Architecture of Large Software Systems
  • Low-Level Design of Software
  • Software Quality Assurance and Testing
  • Service Oriented Architecture using Web Services

Elective Subjects

  • Interaction Design
  • Security in Computing
  • Risk Management for Software Intensive Projects
  • Data Mining and Analytics
  • Data Preprocessing and Analysis
  • High Performance Computing for Big Data
  • Software Project Management

University Subject

  • Technological Innovation and Entrepreneurship

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