Computer Science and Artificial Intelligence
Program Overview
The Ph.D. in Computer Science and Engineering at IIT Delhi - Abu Dhabi is designed for scholars seeking to advance the frontiers of computing through rigorous research and innovation. The program offers focused research opportunities in algorithms, artificial intelligence, natural language processing, intelligent systems, secure computer architecture, and theoretical computer science. By combining strong theoretical foundations with application-driven inquiry, scholars engage with emerging challenges in scalable computing, AI ethics, cybersecurity, and resilient digital systems.
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
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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 PDFDoctoral scholars complete coursework requirements as advised by their research committee, followed by comprehensive examinations and original research leading to a dissertation.
Type of the Course
- Coursework
- Comprehensive Examination
- Research & Dissertation
- Overall
Course Names
- Advanced topics in CS and AI as per research plan
- Qualifying assessment of research readiness
- Original research under faculty supervision
Total Credits
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