
Ph.D. Computer Science
Learning
& Analytics
Security
ABOUT THE DEPARTMENT
The Research Department of Computer Science offers a rigorous Ph.D. program aimed at fostering original research in cutting-edge domains of computing technology. Researchers are mentored in advanced topics including Machine Learning, Data Analytics, Cloud Architecture, Computer Networks, and Image Processing. The department provides high-performance computing infrastructure and subscription to international research journals to support scholars in publishing impactful research.
Our Vision
To become a center of excellence in computer science research by producing innovative scholars capable of solving complex technological challenges.
Our Mission
- Provide state-of-the-art research facilities and expert faculty mentorship.
- Promote interdisciplinary research in emerging areas of artificial intelligence and data science.
- Encourage scholars to publish in high-impact indexed journals and secure research patents.
DEPARTMENT OUTCOMES
Critical Thinking
Take informed actions after identifying the assumptions that frame our thinking and actions, checking out the degree to which these assumptions are accurate and valid, and looking at our ideas and decisions (intellectual, organizational and personal) from different perspectives.
Effective Communication
Speak, read, write and listen clearly in person and through electronic media in English and in one Indian language, and making meaning of the world by connecting people, ideas, books, media and technology.
Social Interaction
Elicit views of others, mediate disagreements and help reach conclusions in group settings.
Effective Citizenship
Demonstrate empathetic social concern and equity centred national development, and the ability to act with an informed awareness of issues and participate in civic life through volunteering.
Ethics
Recognize different value systems including your own, understand the moral dimensions of your decisions, and accept responsibility for them.
Environment and Sustainability
Understand the issues of environmental contexts and sustainable development.
Self-directed and Life-long Learning
Acquire the ability to engage in independent and life-long learning in the broadest context socio-technological changes.
