Project Description

Doctor of Philosophy (Information Technology)

(R2/481/8/0072 (A6083) 06/20)

Programme Synopsis

Ultimately this programme aims to:

  • Enhance research management skills in specific areas of Information Technology.
  • Improve the analytical and conceptual skills in specific areas of Information Technology.
  • Foster research and development of new knowledge in specific areas of Information Technology.

Malaysia requires more knowledge workers to help it to propel towards the knowledge-based economy. The Doctor of Philosophy degree programme in Open University Malaysia (OUM) has been designed to produce cutting-edge knowledge workers in information and communication technology and cater to the needs of industries, academic and research institutions. In particular, the objective of this programme is to produce high-calibre researchers in critical areas in information and communication technology.

Kemasukan Biasa
i. Ijazah sarjana atau setara DAN calon perlu menamatkan sekurang-kurangnya SATU (1) daripada pengajian ijazah awalan (sarjana Muda atau sarjana) dalam Pengkomputeran atau yang berkaitan dengan Pengkomputeran.
ii. Pelajar antarabangsa haruslah mempunyai bukti penguasaan Bahasa Inggeris secara lisan dan bertulis dengan baik, sebagai contoh skala 6.0 untuk Sistem Ujian Bahasa Inggeris Antarabangsa (International English Language Testing System, IELTS) atau yang setara dengannya.

Nota untuk PhD secara Penyelidikan:
a. Tiada kemasukan terus daripada tahap sarjana muda ke tahap kedoktoran.
b. Calon yang berkelayakan tahap sarjana muda yang mendaftar untuk program tahap sarjana boleh memohon untuk menukar pendaftaran pengajian ke program kedoktoran dalam tempoh 1 tahun selepas mendaftar program, tertakluk kepada ketetapan berikut:
i. Telah menunjukkan kompetensi dan kebolehan dalam menjalankan penyelidikan pada tahap kedoktoran (Tahap 8 MQF);
ii. Penilaian dalaman yang rapi oleh PPT; dan
iii. Mendapat kelulusan daripada Senat PPT.

NOTA: Pengambilan pelajar adalah tertakluk kepada kelulusan Jawatankuasa Pasca-Siswazah Kluster.

Normal Entry
i. Master’s degree or equivalent AND candidate must complete at least ONE (1) of the first degree studies (Bachelor or Master) in Computing or related to Computing.
ii. International students should have proof of written and oral English proficiency, for example a 6.0 scale for the International English Language Testing System (IELTS) or equivalent.

Notes for PhD by Research:
a) No direct admission from Bachelor’s degree to Doctoral programme.
b) Candidate with a bachelor degree who has enrolled for a masters degree programme may apply to change to a doctoral programme within 1 year after registering for the programme, subject to the following provisions:
i. Has demonstrated competency and ability to conduct research at the postgraduate level (Level 8 MQF);
ii. A comprehensive internal assessment by the HEP; and
iii. Obtain approval from the HEP Senate.

NOTE: Intake is subject to the approval of the Post-Graduate Committee of the Cluster.


  1. The provisional offer of admission will be revoked if the candidate:
    1. Fails to submit evidence of qualification within the stipulated date; or
    2. Does not meet the entry requirements of the University.
  2. Entry requirements are subject to change as stipulated by the Malaysian Qualifications Agency.
Coursework Year 1 Year 2 Year 3 Year 4
Sem 1 RM7,800 RM2,517 RM2,517 RM2,517
Sem 2 RM2,517 RM2,517 RM2,517 RM2,517
Sem 3 RM2,517 RM2,517 RM2,517 RM2,517
Total     RM35,487

* Fees applicable to Malaysians and Permanent Residents only.
* International students are required to pay registration fees of RM1,000 and an additional 20% for the tuition fees.
* The University reserves the right to revise the fees without prior notice.

Discount for the Physically Challenged Learners (OKU) and Senior Citizens

The University offers 50% discount for:

  • Senior citizens aged 60 and above on registration date; and
  • Physically challenged learners – a valid Orang Kelainan Upaya (OKU) is required.

These discounts are for subject fees only and are not applicable for research and other fees. The discounts are also not valid for second time registration and repeating of subjects.

Learners who receive this discount are not entitled to other discounts and promotions.


Processing fee:

  • RM50 (Malaysian) & RM100 (International Students)

Re-registration fee of RM220 per semester is chargeable for extension of Masters Projects

Financial options:

  • EPF (Account 2); or
  • Education or Personal Loan from commercial banks; or
  • HRDF (subject to employer’s eligibility); or

Payment Mode:

  • JomPAY; or
  • Internet Banking; or
  • Debit/Credit Card.

This programme comprised three parts:

Part I – Core Courses
Subject Name Credit Hours
Research Methodology

This course focuses on the research elements, components, and its processes. The course will develop the capability to formulate research problem, research objectives, theoretical framework, conceptual framework, hypothesis formulation, research design, data collection techniques, scale and measurements, reliability and validity, data analysis methods, report writing and presentation. This research skill is important for learners to be analytical, critical, logical, rigorous and systematic in research writing process.

Doctoral Seminar

This course provides a comprehensive overview of a PhD research journey. Learners are first led through the early stage of experience in idea generation and the importance of understanding the demands of thesis writing. Next, the learners are exposed to reading and writing strategies that will help in effective academic writing. Specifically, learners are led through the critical processes in reading and writing with a focus on possible problems that may be encountered in the staged experience in the research journey, ending with a note on citation styles and the need to revise and edit.

Part II – Research
Learners will be conducting the research and prepare the thesis under the guidance of supervisor(s). The areas of research in this field of study are as follows:
  • Intelligent Systems
  • Knowledge Management
  • Information Security
  • Mobile Learning
  • Data Mining
  • Big Data
  • Internet of Things
  • Semantic Technologies
  • or any other related area
Part III: Thesis Examination
When the learner has completed the thesis and is ready for examination, an examining committee will be appointed to assess the Ph.D. (Information Technology) thesis. The learner will be examined in the Viva Voce session.
Tel :
6013 3404741

Email :

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