This course, previously offered by S K Somaiya College, will now be offered by Somaiya School of Basic & Applied Sciences.

Ph.D in Computer Science

Ph.D in Computer Science Ph.D in Computer Science | Ph.D in Comp Science

Programme Overview

The Ph.D. in Computer Science at the Department of Information Technology and Computer Science, Somaiya Vidyavihar University, Mumbai, is an advanced research program aimed at developing thought leaders, innovators, and problem solvers in the field of computing and information technology. It empowers scholars to address the evolving challenges in technology, ranging from artificial intelligence, cybersecurity, and data science, to blockchain, cloud computing, and software engineering. The program combines rigorous coursework, independent research, and hands-on technical exploration to foster deep technical expertise and innovative thinking. Students benefit from expert faculty mentorship, state-of-the-art research laboratories, interdisciplinary collaborations, and opportunities to engage with industry, academia, and governmental agencies. Focus is placed on ethical computing, sustainable IT practices, privacy and security, computational intelligence, and societal impacts of technology — aligning with emerging global standards and Sustainable Development Goals (SDGs).

Graduates are nurtured to become critical thinkers, research innovators, and academic leaders, prepared to contribute significantly to scientific advancements, influence technology policy, drive entrepreneurship, and solve real-world challenges through innovation and collaboration. The program cultivates a systems-thinking approach, promoting a holistic understanding of computer science and its interdisciplinary applications, to create future-ready technology leaders. This Ph.D. in Computer Science programme is designed to transform passionate researchers into future technology pioneers, capable of making lasting contributions to academia, industry, and society.

Key Information

Duration
3 Year
Programme Code
ST4432
Mode of study
Full time
Campus
Vidyavihar - Mumbai

Eligibility criteria

  • A master’s degree in computer science, Computer Applications, Information Technology, Data Science, Artificial Intelligence, or a related field with a minimum of 55% marks in aggregate or an equivalent grade. OR
  • A master’s degree in engineering/technology (M.E./M.Tech.) in Computer Science, Information Technology, Artificial Intelligence, Data Science, Cybersecurity, Software Engineering, or equivalent branches.  OR
  • A degree in allied disciplines such as M.Sc. (Mathematics/Statistics with specialization in Computing or Data Analytics), MCA, or equivalent  OR
  • A professional degree like M.B.A. with specialization in Business Analytics/Data Science from a recognized university, subject to fulfilment of eligibility criteria. OR
  • An equivalent degree from a foreign educational institution accredited by a recognized Assessment and Accreditation Agency.

Research Areas

  • Artificial Intelligence and Machine Learning
  • Data Science, Big Data Analytics, and Data Mining
  • Cybersecurity, Cryptography, and Digital Forensics
  • Cloud Computing, Edge Computing, and Internet of Things (IoT)
  • Blockchain Technology and Distributed Ledger Systems
  • Human-Computer Interaction (HCI) and UX/UI Research
  • Natural Language Processing (NLP) and Speech Recognition
  • Robotics and Intelligent Systems
  • Software Engineering and Formal Methods
  • Computer Vision and Image Processing
  • Computational Biology and Bioinformatics
  • High Performance Computing and Quantum Computing
  • Algorithms, Theoretical Computer Science, and Optimization
  • Smart Systems, Smart Cities, and Urban Computing
  • Sustainable Computing and Green IT
  • Privacy, Ethics, and Social Impacts of AI and Technology

Guide List

Name of Guide Qualification Research Areas
Dr. Swati Maurya PhD (Computer Science),M.Phil. (CS), MTech (CSE), MCA, MSc (CS), MBA(IS) SET (Computer Science & Applications) 1. Artificial Intelligence and Machine Learning
2. Data Science, Big Data Analytics, and Data Mining
3. Natural Language Processing (NLP) and Speech Recognition
4. Robotics and Intelligent Systems
5. Software Engineering and Formal Methods
6. Computer Vision and Image Processing
7. Computational Biology and Bioinformatics
8. High Performance Computing and Quantum Computing
9. Algorithms, Theoretical Computer Science, and Optimization
10. Smart Systems, Smart Cities, and Urban Computing
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