Doctor of Philosophy in Computing

This programme offers an innovative platform for scholars to engage in cutting-edge research, develop advanced technological solutions, and contribute significantly to the academic and professional computing communities. With its interdisciplinary approach, the PhD in Computing equips candidates with advanced research capabilities, critical problem-solving skills, and ethical leadership, enabling them to excel in academia, the tech industry, and governmental roles.

Comprehensive Research Focus

• In-depth exploration of computing disciplines, including Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Cybersecurity, Networking, Internet of Things (IoT), Human-Computer Interaction, and Cloud Computing.
• Development of advanced research skills to address contemporary challenges in computing and technology.

Interdisciplinary and Applied Research

• Integration of computational, analytical, and innovative thinking to solve complex technological problems.
• Application of theoretical frameworks to real-world computing scenarios.
• Emphasis on technical writing, effective communication, and professional presentation skills.

Diverse and Inclusive Environment

• Opportunities to collaborate with peers from diverse cultural and professional backgrounds.
• Promotion of ethical practices and leadership in technological innovation.

Professional Development

• Cultivation of lifelong learning and research capabilities to address global computing challenges.
• Exposure to practical problem-solving scenarios and emerging trends in computing and IT.

Specialised Study Areas

• Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Cybersecurity, Networking, Internet of Things (IoT), Human-Computer Interaction, Cloud Computing, and other emerging fields in computing.

The PhD in Computing programme is fully research-based, emphasising research methodology to equip students with essential skills and knowledge for conducting impactful research while fostering a strong understanding of computing theories and practices.

Duration of Study

• Full-Time: 3 – 8 years
• Part-Time: 4 – 8 years

Core Components

• Research Methodology: Advanced training in both qualitative and quantitative research techniques.
• Proposal Development: Structured guidance for preparing comprehensive research proposals.
• Dissertation: A significant original research project contributing to the field of management.
• Research Seminars: Regular presentations and discussions to refine research skills and methodologies.

Semester                               Description

Semester 1                         Research Methodology

Semester 2                         Proposal Defence

Semester 3                                  

Semester 4                         Research Progress Evaluation

Semester 5                                  

Semester 6                         Viva Voce

This structured progression ensures that students achieve key milestones, from mastering research methodologies to successfully defending their dissertation, leading to a comprehensive educational experience.

1. A Master’s degree (Level 7, MQF) in the field of Computing or related fields as accepted by the HEP Senate; OR

1. A Master’s degree (Level 7, MQF) in nonComputing fields with a minimum of FIVE (5) years of working experience in the field of computing or related fields must complete prerequisite courses as determined by the HEP.; OR

• A Master’s degree (Level 7, MQF) in nonComputing 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; OR

1. 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 HEP.

And

English competency requirement (International Student). Achieve a minimum score of 6.0 in the IELTS or equivalent.

TUITION FEES

• Local Students: RM22,800
• International Students: RM36,000

Upon completion of the programme, our graduates will be able to:

• Integrate state-of-art knowledge through a systematic comprehension and in-depth understanding of the field of study.
• Develop original research work that broadens the boundary of knowledge through an in-depth thesis that has been presented and defended according to HEP standards.
• Develop innovative computing solutions that stand the tests of applicability, efficiency and effectiveness
• Demonstrate effective interaction with peers, scholarly communities and society of diverse audiences through participation in discourses related to the field of study.
• Exhibit effective communication with peers, scholarly communities and society of diverse audiences by publishing and presenting technical materials in the fields of study.
• Utilise appropriate digital tools to acquire, interpret and extend knowledge in computing.
• Apply appropriate numerical techniques to acquire, interpret and extend knowledge in computing.
• Demonstrate leadership, teamwork, autonomy and responsibility in conducting research based on computing theoretical framework.
• Exhibit capabilities to extend relevant knowledge through life-long learning.
• Exhibit capabilities of having an entrepreneurial mindset related to the field of study.
• Uphold professional and ethical practices in conducting research and delivering solutions related to the field of study.

Graduates of the PhD in Computing programme are well-positioned for diverse roles, including:

• Academia: Professors, lecturers, and researchers in computer science, information technology, and related fields.
• Tech Leadership: Executive roles in software development, cybersecurity, data science, and IT management.
• Research and Development: Innovators in cutting-edge technologies like AI, IoT, and Cloud Computing in private and public sectors.
• Consulting: Strategic advisors in IT solutions, digital transformation, and emerging technologies.
• Policy Development: Technology policy analysts and advisors in governmental and non-governmental organisations.

The PhD in Computing at UNISEL is a transformative journey, providing scholars with the skills and knowledge to become thought leaders and innovators in the global technology landscape. With a commitment to academic excellence and professional relevance, this programme prepares graduates to make meaningful contributions to society through advanced computing solutions.