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Admission Open 2025

About

The Ph.D. in Information Technology at Netaji Subhas University is a research-intensive doctoral program that equips scholars to explore cutting-edge innovations in computing, data science, cybersecurity, AI, cloud computing, software engineering, and IT infrastructure. The program is designed for individuals aiming to contribute significant advancements to the digital and technological landscape through high-quality, original research.

With a balanced focus on both theoretical foundations and applied practices, the program fosters innovation, critical thinking, and problem-solving to tackle real-world IT challenges. Scholars benefit from expert faculty mentorship, access to advanced labs, and opportunities for global collaborations.

Why Choose NSU for Ph.D. in IT?

  • Renowned faculty with expertise in AI, cybersecurity, cloud, and IoT
  • Access to modern research labs, data centers, and digital tools
  • Collaboration with IT industries and research institutions
  • Guidance for publication in high-impact international journals
  • Research domains include big data analytics, software testing, machine learning, blockchain, and more
  • Opportunities to present in tech conferences, seminars, and workshops
Faculty Image of Ranjan Kumar Mishra
Dr. Ranjan Kumar Mishra

Dean (School of IT)

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Syllabus

Eligibility Criteria

  • Master’s degree in Information Technology, Computer Science, or a related discipline (M.Tech, MCA, M.Sc IT, etc.)
  • Qualification through entrance examination and interview conducted by the university
  • Candidates with UGC-NET / GATE / CSIR-JRF / SLET are exempted from the entrance exam (subject to university policy)

Career Path

A Ph.D. in Information Technology opens elite career paths in academia, R&D divisions of tech companies, IT consultancy, government IT departments, data-driven organizations, and global think tanks. Scholars often assume leadership roles in innovation, research, and high-end technology development.

  • Professor / IT Research Scientist
  • Data Scientist / AI & ML Specialist
  • Software Architect / Systems Designer
  • esearch Lead in IT Multinationals & Startups