SAHE University Ph.D Computer Science and Engineering: Fees 2026, Course Duration, Dates, Eligibility

Ans. The Department of Computer Science and Engineering at SAHE University has active research groups in Artificial Intelligence, Machine Learning, Deep Learning, Internet of Things, Cloud Computing, Big Data and Data Analytics, Computer Vision, Remote Sensing, Cybersecurity, and Natural Language Processing. The coursework syllabus reflects these areas with cutting-edge subjects such as Generative AI and Large Language Models, Quantum Computing, Edge Computing, Extended Reality and Metaverse, Cyber Forensics, and Social Network Analysis. Candidates are advised to contact the PhD Coordinator at phdcoordinator@vrsiddhartha.ac.in or call 8121638666 to confirm the availability of a research supervisor in their specific area of interest before applying.

Ans. Yes, the Part Time category is specifically designed for working professionals. Software engineers, IT professionals, data scientists, and faculty members in engineering colleges can enrol in the Part Time PhD programme without leaving their current job. Sponsored candidates whose employers support their doctoral research are also eligible. Part Time scholars must fulfil the university's coursework and research norms while managing their professional commitments. However, they are not eligible for the university's internal fellowship of Rs. 35,000/month, which is reserved for Full Time scholars.

Ans. Admissions for the 2026-27 session are currently open. The registration process commenced on 12th March 2026, and the last date to apply is 10th May 2026. The written examination (SRCAT) is scheduled for 24th May 2026, followed by interviews on 7th June 2026. Shortlisted candidates will be notified on 15th June 2026, and the programme is set to commence on 22nd June 2026. Candidates can apply online at https://admissions.siddhartha.edu.in/.

Ans. The PhD coursework requires a minimum of 12 credits and a maximum of 16 credits. The coursework for CSE includes Research Methodology (4 credits, common for all disciplines), an Oral Presentation/Seminar (2 credits), and two subject-specific elective courses (3 credits each) from two pools. Pool I includes Data Science, Cloud Computing, Soft Computing, Introduction to Biostatistics, Social Network Analysis, Augmented Reality and Virtual Reality, Software Reliability, and NPTEL courses on Machine Learning, Advanced Computer Networks, Computer Vision and Image Processing, IoT, Advanced Distributed Systems, Advanced Linear Algebra, Cryptography and Network Security, Geographic Information Systems, and Signal Processing. Pool II includes Wireless Ad Hoc and Sensor Networks, Generative AI and Large Language Models, Edge Computing, Quantum Computing, Evolutionary Computing, Cyber Forensics, Remote Sensing and GIS, Digital Speech Processing, Knowledge Graphics, and Extended Reality and Metaverse. The coursework syllabus can be downloaded from www.vrsiddhartha.ac.in/ph-d-programmes/.

Ans. Yes, a valid GATE score (in CS/IT or relevant paper) exempts candidates from appearing in SRCAT (Siddhartha Research Common Admission Test). Similarly, valid scores in APSET or APRCET also provide exemption from SRCAT. However, even with a valid GATE/APSET/APRCET score, candidates must appear for the personal interview conducted by the university's Doctoral Committee. The interview is a mandatory step in the selection process regardless of SRCAT exemption.

Ans. Both Full Time and Part Time PhD scholars at SAHE University follow the same minimum duration of 2 years (excluding coursework) and maximum of 6 years, with thesis submission permitted only after 3 years from registration. The key difference is that Part Time scholars are not eligible for the university's monthly fellowship of Rs. 35,000, which is exclusively for Full Time scholars. Full Time scholars who are GATE-qualified may also be eligible for the MHRD GATE scholarship of Rs. 12,400/month. Part Time scholars are expected to manage their research alongside their professional commitments, which typically means the actual completion time is longer. Both categories follow the same coursework structure and thesis evaluation process.