25 PHD IT

Doctor of Philosophy Information Technology

MOHE/MQA:
(R2-DL/0611/8/0016) 01/29 (MQA/FA 1743)

Doctorate (PhD)
9 Semesters / 3 Years
EPF Withdrawal Available
From
RM 859.44per
month
RM 30,940.00 total tuition fee
Price listed above is applicable to local students only

Why this course

Doctor of Philosophy (Information Technology) is a full-research doctoral programme that gives undergraduates the opportunity to explore a topic of their choice with a supervising expert in that field.

The final deliverable for the course is a prototype system which will allow undergraduates ample opportunity to feed their naturally inquiring minds and passion for problem solving.

Price listed above is applicable to local students only
MOHE/MQA:
(R2-DL/0611/8/0016) 01/29 (MQA/FA 1743)

This field is hidden when viewing the form
This field is hidden when viewing the form
This field is for validation purposes and should be left unchanged.

Course information

Programme Entry Requirements

  • A Master’s Degree (Level 7, MQF) in the in the field of Computing or related fields as accepted by the UNITAR Senate; OR
  • A Master’s degree (Level 7, MQF) in non Computing fields with a minimum of FIVE (5) years of working experience in the field of computing or related fields must undergo appropriate prerequisite courses as determined by the UNITAR; OR
  • Other qualifications equivalent to a Master’s degree in the field of Computing or related fields recognised by the Government of Malaysia must undergo appropriate prerequisite courses as determined by the UNITAR.
  • *A Master’s degree (Level 7, MQF) in non Computing fields with less than FIVE (5) years of working experience in the field of computing or related fields must undergo appropriate prerequisite courses as determined by the HEP and subject to rigorous internal assessment.

    (*Rigorous internal assessment and their working experiences will determine the appropriate prerequisite courses required for candidates. If the assessment fulfils the requirements, the candidates can be exempted from taking the prerequisite courses.)

AND

  • A proposal of about 500 words in English must be submitted together with all the relevant documents required for admission to the University on the registration day.​

Note for PhD by Research

  • There is no direct entry from the Degree’s programme to the Doctoral level;
  • Qualified Degree’s candidates who enroll for a Master’s program, can apply to change their studies to a Doctorate program within (1) one year after signing for Master’s program and subject to the following provisions;
    • Have demonstrated competence and capability in conducting research at Doctoral level;
    • Rigorous internal assessment by UNITAR; and
    • Approval from UNITAR Senate.

English Requirements

International Students
  • Minimum score of 6.0 for IELTS OR
  • Minimum score of 60 for TOEFL iBT OR its equivalent

Year 1

  • Advanced Research Methodology
  • Advanced Research Ethics
  • Advanced Qualitative Techniques
  • Advanced Quantitative Analysis
  • Colloquium 1

Year 2

  • Development 1
  • Proposal Submission and Defense
  • Development 2
  • Colloquium 2

Year 3

  • Development 3
  • Evaluation and Validation
  • Colloquium 3
  • Presentation and 1 International Refereed Publication of Research Findings
  • Thesis Submission and Defense
  • IT Leader
  • Chief Information Officer
  • Chief Technology Officer
  • Computer and Information Research Scientist
  • Project Management
  • Director
  • Information Technology Director

The Programme Learning Outcomes (PLO) of this programme is to prepare graduates who are able to:

  1. Policies and practices to monitor and prevent unauthorised access, misuse, modification and denial of service of a computer network and resources.
  2. Programming languages including markup languages and multimedia packages to create applications for the web.
  3. Methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
  4. Involves the study of algorithms and statistical models that computer systems use to perform tasks without explicit instructions, mimicking human intelligence.
  5. Giant network of connected devices including wireless sensors, software, actuators and computer devices to improve our work and life.
  6. To record transactions efficiently in a verifiable and permanent way in regard to potential applications in multiple industries such as the financial industry, governments, identity management and healthcare.

 

Refresh_font_awesome

Download Brochure

This field is hidden when viewing the form
This field is for validation purposes and should be left unchanged.

Download Brochure

This field is hidden when viewing the form
This field is for validation purposes and should be left unchanged.