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PhD in Computing (ODL)

Course overview

Qualification Doctoral Degree (PhD)
Study mode Full-time, Part-time, Online
Duration 3 years
Intakes March, April, May, June, July, August, September, October, November, December
Tuition (Local students) ₹ 705,529
Tuition (Foreign students) ₹ 718,824


The ODL (Open & Distance Learning) PhD programs are designed to help students build both theoretical knowledge and practical skills in their chosen field. With ODL, students can learn whenever and wherever they want, at their own pace. This flexibility makes learning more exciting and accessible.

Students will develop their ability to learn independently and create professional documents. They'll receive supervision and support through platforms like Microsoft Teams and Moodle. They can also attend research workshops organized by the Graduate School of Technology and Graduate School of Business.

Participation in online research seminars, colloquiums, and conferences is mandatory. For those studying Computing/Technology, publishing one journal article is required to earn the PhD.

Assessment includes both oral and written evaluations, with the final assessment being a viva voce (oral examination) and submission of a dissertation. Students will also complete Research Methods Modules and write a dissertation to complete the program.





₹ 705,529
Local students
₹ 718,824
Foreign students

Estimated cost as reported by the Institution.


₹ 2,659
Local students
₹ 12,408
Foreign students

Student Visa

₹ 42,544
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


• A Masters degree in a related field accepted by the APU Senate

• Other qualifications equivalent to a Masters degree that are accepted by the APU Senate

Note: The above entry requirements may differ for specific programmes based on the latest programme standards published by Malaysian Qualifications Agency (MQA).




• IELTS : 6.0

For more information please click HERE


  • Database Development
  • Artificial Intelligence
  • Green Computing
  • Computing & Society
  • Medical Image Processing
  • Neural Networks
  • Data Compression
  • User Interfaces
  • Human Computer Interaction
  • Content-based Retrieval
  • Malware Analysis and Detection
  • Cyber Security
  • Computer Forensics
  • Artificial Intelligence
  • Algorithm and Distributed Computing
  • Digital Image Processing
  • Machine Learning
  • Data Mining
  • Neural Networks
  • Robotics
  • Healthcare Systems
  • Technological Innovation and Change
  • Information Systems Adoption
  • Image Processing
  • Graph Theory/ Combinatorics
  • Computational Analysis
  • Big Data Analytics
  • Cloud Computing
  • Internet of Things (IoT)
  • Natural Language Processing

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