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PhD (Computer Science)
UPES Energy Acres, Dehradun, India
# 551-600QS Subject Rankings
36 monthsProgram duration
21 Jan, 2025Application Deadline
YesScholarships
Program overview
Main Subject
Computer Science and Information Systems
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Read more years. The program emphasizes independent research on a mutually agreed-upon topic between the scholar and the school, guided by a dedicated faculty supervisor. During the course of the program, all research scholars are required to undergo a structured Course Work, encompassing essential research skills training and elective courses tailored to their chosen area of research within computer science.
The School of Computer Science offers a diverse range of research areas for prospective Ph.D. candidates, covering cutting-edge topics in the field. These areas include Artificial Intelligence and Machine Learning, Data Science and Big Data, Cybersecurity, Quantum Technologies, Computer Vision, Internet of Things, Blockchain Technology, Natural Language Processing, Robotics and Autonomous Systems, Edge Computing, Computer Graphics and Virtual Reality, Biomedical Computing, Sustainable and Green Computing, Human-Computer Interaction, and Cloud Computing and Distributed Systems.
Throughout the program, scholars benefit from rigorous monitoring and guidance from the Departmental Research Committee at the individual level, followed by oversight from the School Research Committee (SRC), which includes external experts from both industry and academia. This ensures the progress and quality of research align with the highest standards in the field. The interdisciplinary nature of the program, coupled with its flexibility and strong industry ties, positions graduates to make significant contributions in academia, research institutions, and various sectors of the technology industry. Overall, the Ph.D. program at UPES SoCS prepares scholars for leadership roles in advancing the frontiers of computer science through innovative research and practical applications. Read less
Program overview
Main Subject
Computer Science and Information Systems
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Read more years. The program emphasizes independent research on a mutually agreed-upon topic between the scholar and the school, guided by a dedicated faculty supervisor. During the course of the program, all research scholars are required to undergo a structured Course Work, encompassing essential research skills training and elective courses tailored to their chosen area of research within computer science.
The School of Computer Science offers a diverse range of research areas for prospective Ph.D. candidates, covering cutting-edge topics in the field. These areas include Artificial Intelligence and Machine Learning, Data Science and Big Data, Cybersecurity, Quantum Technologies, Computer Vision, Internet of Things, Blockchain Technology, Natural Language Processing, Robotics and Autonomous Systems, Edge Computing, Computer Graphics and Virtual Reality, Biomedical Computing, Sustainable and Green Computing, Human-Computer Interaction, and Cloud Computing and Distributed Systems.
Throughout the program, scholars benefit from rigorous monitoring and guidance from the Departmental Research Committee at the individual level, followed by oversight from the School Research Committee (SRC), which includes external experts from both industry and academia. This ensures the progress and quality of research align with the highest standards in the field. The interdisciplinary nature of the program, coupled with its flexibility and strong industry ties, positions graduates to make significant contributions in academia, research institutions, and various sectors of the technology industry. Overall, the Ph.D. program at UPES SoCS prepares scholars for leadership roles in advancing the frontiers of computer science through innovative research and practical applications. Read less
Admission Requirements
Tuition Fee
Scholarships
QS subject rankings
Subject: Computer Science and Information Systems
Ranking criteria
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