
PhD in Information Technology (CT401)
Designed to develop advanced practitioners with exceptional technical expertise and analytical capabilities in cutting-edge information technology research and innovation.
About
Who we are
The Doctor of Information Technology (DIT) addresses the expanding needs of professionals who manage information resources; solve information, communication, and technology-related problems in businesses and other organizations; or educate and/or train others in fields related to the applications of information systems and communications. This is an intensive program designed primarily to develop practitioners and teaching faculty with very high levels of both technical and analytical expertise in specific fields of information technology (IT). Admission to the program is competitive. Meeting a specific set of minimum qualifications does not assure admission.
- Programme : PhD in Information Technology
- Programme Code : CT401
- Duration : 3-5 years
- Reference : N/482/8/0165 MQA/PA 9372 30/12/2023-29/12/2024
- Tuition fee : RM20,200 (Local) / RM29,800 (International)
Minimum Requirement :
- A Master's Degree (Level 7, Malaysian Qualifications Framework, MQF) in related field or any other equivalent qualification from KUPTM or any other institutions of higher learning recognized by the University Senate;
- Candidates must have completed at least 1 of their earlier Degrees (Masters or Bachelors) in Computing or related to computing
- For international students: Test of English Foreign Language (TOEFL) with minimum score of 550 OR International English Language Testing System (IELTS) with minimum score of Band 6.5. The validity period for TOEFL and IELTS is 2 years from the date of the award.
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COURSES OFFERED :
- Advanced Research Methodology (BUS 6156)
- Proposal Meeting and Thesis Writing (BUS 6166)
- Seminar on Current Issues in Information Technology (ITC 4143)

Career Opportunities in :
- University Professor/Lecturer – Teach and mentor undergraduate and postgraduate students
- Research Scientist – Work in public or private research institutions focusing on new technologies, AI, cybersecurity, etc.
- Chief Technology Officer (CTO) – Oversee the technological development and strategy of organizations
- Data Scientist/AI Researcher – Specialize in machine learning, artificial intelligence, and data analysis
- IT Director/IT Manager – Manage and oversee IT teams, strategy, and operations
- Cybersecurity Specialist/Researcher – Develop solutions for data privacy and system security
- Software Architect – Design and guide the development of large-scale software solutions
- Cloud Solutions Architect – Design, implement, and manage cloud-based IT infrastructure
- Blockchain Developer/Researcher – Lead development and research on decentralized systems and blockchain technology
- Tech Startup Founder/Co-Founder – Create and run IT-based startups in AI, machine learning, cloud computing, etc.
