Doctor of Philosophy in Information & Communication Technology
R2/0610/8/0001 (07/27) (MQA/A11224)

The Doctor of Philosophy in Information & Communication Technology program is aimed at providing prospective candidates with the ability to develop new/novel knowledge and expand existing knowledge and application of computing solutions in the organization, society, and worldwide. It exposes the practitioners/researchers to advanced study and training in research, culminating in the submission of a thesis. This program intends to develop research capability, creativity, and ability to collate the results of the research work and to present them in a clear manner, as well as demonstrate knowledge of the literature of the subject.

• A master’s degree in the field or related fields accepted by UNITEN Senate; or
• Other qualifications equivalent to a master’s degree recognised by the Government of Malaysia.
• Candidates without a related qualification in the field/s or working experience in the relevant fields must undergo appropriate prerequisite courses determined by UNITEN.
• For international students: Test of English as a Foreign Language (TOEFL) score of 550 or International English Language Testing System (IELTS) score of 6.0 or its equivalent.

A bachelor’s degree with the following conditions:

• A bachelor's degree in the field or related fields with first-class (CGPA of 3.67 or higher) or its equivalent from an academic or Technical and Vocational Education and Training (TVET) programme;
• Undergo internal assessment; and
• Any other requirements of UNITEN.

Bachelor’s degree candidates who are registered for master’s degree programmes may apply to convert to the doctoral degree programmes subjected to the following conditions:

• Within 1 year for full time and within 2 years for part-time candidates;
• Having shown competency and capability in conducting research at doctoral level through rigorous internal evaluation by UNITEN; and
• Approval of UNITEN Senate.

KEY RESEARCH AREAS

• Information Systems
• Artificial Intelligence
• Machine Learning
• Human-Computer Interaction and Visualization
• Knowledge Management
• Cybersecurity
• Data Communications and Networking
• IT Governance
• Advanced Project Management
• Interactive Systems Design
• Data Modeling
• Software models
• Software Quality
• Data Analytics