Computer Science and Artificial Intelligence
Program Overview
The contemporary technological landscape is shaped by the convergence of software complexity, hardware efficiency, and intelligent data systems. As global infrastructures evolve, the need for robust, scalable, and ethically aligned computational solutions has become increasingly critical. Addressing these demands requires not only technical expertise but also deep research capability grounded in both theoretical and applied foundations.
To meet this need, the Indian Institute of Technology Delhi – Abu Dhabi (IITD-AD) offers a Ph.D. program in Computer Science and Artificial Intelligence, extending the legacy of IIT Delhi, established in 1961. The program builds on decades of excellence in doctoral education, with alumni advancing to leading industrial research labs such as Google, Microsoft, and IBM, as well as faculty positions at premier academic institutions and key roles in global technology companies.
Key Focus Areas
- Algorithms and theoretical computer science
- Artificial intelligence and machine learning
- Natural language processing and intelligent systems
- Secure computer architecture and cybersecurity
- Scalable computing and resilient digital systems
- AI ethics and trustworthy computing
Career Pathways
Doctoral graduates lead research in academia, national labs, and industry R&D. Key pathways include:
- University faculty and postdoctoral research
- Industry research laboratories
- AI and technology leadership roles
- National research labs and innovation hubs
- Deep-tech startups and entrepreneurship
Insider Look
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KU & IITD-AD Joint Research Symposium: Advancing Energy, Sustainability, AI, and Cybersecurity
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KU & IITD-AD Joint Research Symposium: Advancing Energy, Sustainability, AI, and Cybersecurity
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KU & IITD-AD Joint Research Symposium: Advancing Energy, Sustainability, AI, and Cybersecurity
EVENT
KU & IITD-AD Joint Research Symposium: Advancing Energy, Sustainability, AI, and Cybersecurity
Curriculum
Download PDFPh.D. students are required to complete coursework based on their previous qualifying degree, as shown below, followed by a written comprehensive examination related to their research topic and the presentation of a research plan to their research committee. Additionally, students must complete non-graded courses on communication skills/research writing and professional ethics. Coursework requirements may vary depending on the specific research problem and area. Degree awarded: Doctor of Philosophy (Ph.D.).
Type of the Course
- Coursework — 2 years M. Tech., M.S., M.S.(R), M.E., 5-year Integrated M. Tech., or equivalent
- Coursework — 4 year B. Tech., B.S., B.E. or equivalent
- Coursework — 2 years M. Sc. (after 3 years of B. Sc.), 5-year Integrated M. Sc., or equivalent
- Comprehensive Examination and Research Plan
- Research Work
- Overall
Course Names
- Coursework as advised, based on the qualifying degree
- Coursework as advised, based on the qualifying degree
- Coursework as advised, based on the qualifying degree
- Written comprehensive examination related to the research topic and presentation of a research plan to the research committee (Full-Time with Assistantship and Full-Time with Sponsorship: within 18 months; Part-Time: within 24 months)
- Independent research with the Student Research Committee evaluating each student's progress every semester; a typical Ph.D. project requires a total of 4-5 years to complete
Total Credits
- 6
- 12
- 12 – 20
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