
Start your admission process for Ph.D. in Big Data Analytics.
Advance your research career with a Ph.D. in Big Data Analytics at Pannadhay University.
The Ph.D. in Big Data Analytics programme at Pannadhay University is designed to cultivate advanced research skills and deep subject expertise in Big Data Analytics. Students engage with cutting-edge theories, methodologies, and interdisciplinary perspectives to contribute original knowledge to their chosen field. The programme prepares scholars for leadership roles in academia, research institutions, and industry.
Under the guidance of experienced faculty mentors, doctoral candidates undertake rigorous coursework, independent research, and thesis preparation. The Technology at Pannadhay University provides state-of-the-art laboratories, libraries, and research centres. Graduates emerge with strong analytical, critical thinking, and research communication skills that are highly valued in global academic and professional environments.
Hadoop Ecosystem
Spark Framework
Data Warehousing
Real-time Analytics
Data Lakes
Stream Processing
Data Governance
Business Intelligence
| Department | Faculty of Technology |
|---|---|
| Type | Regular |
| Duration of the Course | 3-5 Years |
| Eligibility | Master's Degree with minimum 55% marks (50% for SC/ST/OBC/PwD) |
| Seat Alloted | |
| Medium of Instruction | English |
| Examination | Entrance Test + Interview |
| Syllabus | University prescribed Ph.D. syllabus in Big Data Analytics |
| Scholarship | Merit-based & Government scholarships available |
| Fees | 1,15,000 per year |
Master's Degree Certificate
Master's Degree Marksheets (All Semesters)
Bachelor's Degree Certificate
Bachelor's Degree Marksheets
10th Passing Certificate (SSC)
12th Passing Certificate (HSC)
Transfer Certificate
Migration Certificate
Character Certificate
Caste Certificate (if applicable)
Income Certificate (if applicable)
UGC NET/CSIR/GATE Score Card (if applicable)
Aadhar Card / ID Proof
Passport Size Photographs (4 copies)
No Objection Certificate (for sponsored candidates)