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PHD in AI & Data Science

PhD by Research

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Course Details

Duration3-5 years
LanguageEnglish
Degree AwardDoctor of Philosophy (PhD)
Mode of StudyBlended Learning
Study TypeResearch-Based
Doctoral ThesisOriginal Research & Dissertation
FeeRM 10,000

Description
Curriculum
Training & Other Facilities
Duration & Delivery

This doctoral qualification is designed for researchers who seek to develop advanced and specialised knowledge in artificial intelligence, data science, machine learning, and computational technologies through rigorous, independent, and original research.

Doctoral candidates develop advanced expertise in artificial intelligence, machine learning, deep learning, data analytics, statistical modelling, data engineering, big data technologies, and computational methods. The programme enables candidates to critically evaluate existing knowledge, formulate significant research problems, and design innovative methodologies to address complex challenges.

The programme emphasises original research and the generation of new knowledge at the intersection of AI and data science. Candidates investigate advanced areas such as generative AI, natural language processing, computer vision, predictive analytics, intelligent systems, data mining, big data, responsible AI, and AI-driven decision-making, with the potential to contribute meaningful theoretical, methodological, or practical advances to their field.

Candidates are expected to conduct independent and systematic research, critically analyse scholarly literature, collect and evaluate complex datasets, develop and validate advanced models, apply appropriate research methodologies, and communicate research findings through a substantial doctoral thesis and scholarly publications. The programme also develops the capacity to lead interdisciplinary research and collaborate with academia, industry, government, and other research communities.

Ethical and responsible research is an integral component of the programme, with emphasis on AI ethics, data privacy, security, transparency, fairness, research integrity, responsible data management, and the societal implications of AI and data-driven technologies.

The PhD in AI & Data Science prepares graduates for advanced academic, research, innovation, and leadership roles in universities, research institutions, technology organisations, government, and data-driven industries. Graduates are equipped to contribute original knowledge, lead research programmes, develop advanced AI and data-driven technologies, publish scholarly research, and shape the future development and responsible application of artificial intelligence and data science.

Applicants must hold a recognised Bachelor’s degree or equivalent qualification to be eligible for admission to this qualification.

General Entry Requirements (International Students)

Minimum age of 30 years or above
Completion of Year 16 or equivalent qualification
English proficiency or proof that the medium of instruction in previous education was English

These requirements ensure students are prepared for academic success in higher education programs.

Blended Learning (Online + Face-to-Face)
Flexible Learning Support with Guided Academic Assistance

Our study mode is designed to provide flexibility for both local and international students while maintaining academic quality and engagement.

Students who complete this course may wish to continue their education into the BSB60420 Advanced Diploma of Leadership and Management or a range of Advanced Diploma qualifications, as well as higher education qualifications in business or management.

Program Structure – PhD in Artificial Intelligence & Data Science

This doctoral program is designed to develop advanced research expertise and original contributions to knowledge in artificial intelligence, data science, machine learning, and related computational fields. The program combines advanced research methodology, specialised study, independent research, and a doctoral thesis. The total credit requirement is structured as follows:

Category	Description
Advanced AI & Data Science Research Foundations	Advanced concepts and emerging theories in artificial intelligence and data science, including machine learning, deep learning, statistical modelling, data analytics, computational intelligence, and research-oriented programming.
Advanced Research Methodology	Advanced research methodologies, research design, quantitative and qualitative methods, experimental design, data collection, statistical analysis, academic writing, research ethics, and scholarly publication practices.
AI & Data Science Research Seminar	Critical review of current research and emerging developments in AI and data science through seminars, literature reviews, research discussions, academic presentations, and scholarly engagement.
Doctoral Research Proposal	Development and defence of an original doctoral research proposal, including research problem, objectives, literature review, research gap, methodology, expected contributions, and research plan.
Original Doctoral Research	Independent and original research in an approved area of artificial intelligence and data science, involving data collection, experimentation, model development, analysis, validation, and generation of new knowledge.
Research Publications & Academic Dissemination	Preparation and submission of research findings for peer-reviewed journals, conferences, and other scholarly platforms, subject to the research and publication requirements of the institution.
Doctoral Thesis / Dissertation	Preparation and submission of a substantial original doctoral dissertation demonstrating advanced knowledge, rigorous research methodology, significant scholarly contribution, and independent research capability in AI and Data Science, followed by an oral defence.
Degree Completion	Successful completion of the approved research programme, fulfilment of institutional doctoral requirements, acceptance of the doctoral thesis, and successful completion of the final viva voce examination.

AI Research Scientist
Data Science Researcher
Machine Learning Research Scientist
Artificial Intelligence Researcher
AI & Data Science Professor / Academic
University Lecturer / Senior Academic
AI Research & Development Lead
Director of AI & Data Science Research
AI & Data Science Consultant
AI & Data Science Principal Scientist
Machine Learning Architect
AI Solutions Architect
Data Science Lead / Principal Data Scientist
Advanced Analytics Research Lead
Deep Learning Research Scientist
Computer Vision Research Scientist
Natural Language Processing (NLP) Researcher
Generative AI Research Scientist
AI Ethics & Responsible AI Researcher
Chief AI / Data Science Officer

These diverse career pathways highlight the advanced academic, research, and professional relevance of the PhD in AI & Data Science, preparing graduates for senior research, academic, technical leadership, consultancy, and innovation roles across artificial intelligence, machine learning, data science, advanced analytics, generative AI, intelligent systems, and AI-driven technology industries.

*Career opportunities may vary based on professional experience, research specialization, academic qualifications, institutional requirements, and industry demand.

State-of-the-art computer laboratory equipped with high-speed internet access and industry-standard IT software supporting hands-on practical learning and innovation.

Smart classroom facilities featuring data projectors and digital learning tools that enhance interactive teaching, collaboration, and presentations.

Well-organized resource borrowing service providing access to books, academic references, and essential learning materials.

Printing and photocopying facilities supporting smooth academic workflow, productivity, and student convenience.

Dedicated student common area designed for collaboration, relaxation, networking, and peer interaction within a balanced campus environment.

A modern, supportive, and technology-rich learning environment empowering students for academic excellence and professional success.

The Doctor of Philosophy (PhD) in Artificial Intelligence & Data Science is designed to be completed over a typical duration of 3-5 years, subject to research progress and institutional requirements.

The program is primarily research-based and focuses on advanced knowledge, original research, and the development of new knowledge in artificial intelligence and data science.

Doctoral candidates undertake advanced research methodology, literature review, research proposal development, seminars, and other research milestones as prescribed by the institution.

Candidates conduct independent and original research in areas such as machine learning, deep learning, generative AI, data science, intelligent systems, computer vision, natural language processing, and advanced analytics.

The research process includes data collection, experimentation, model development, evaluation, validation, analysis, and scholarly dissemination of research findings.

The program culminates in the preparation and submission of an original doctoral thesis/dissertation and successful completion of a viva voce examination, subject to the academic and research requirements of the institution.