The Doctor of Philosophy program under the Faculty of Computer Application is an advanced research driven doctoral journey designed to develop high impact researchers, academicians, and technology ...
Apply NowThe Doctor of Philosophy program under the Faculty of Computer Application is an advanced research driven doctoral journey designed to develop high impact researchers, academicians, and technology innovators. The program focuses on generating original knowledge, advancing computing applications, and solving complex real world problems through rigorous research and scientific inquiry.
Candidates must have successfully completed a Master degree in Computer Applications, Computer Science, Information Technology, or a closely related discipline from a recognized university, securing a minimum of fifty five percent marks or equivalent grade. Relaxation is provided for reserved categories as per applicable norms.
Admission is subject to university research regulations, entrance requirements, and interview based evaluation as applicable.
| Program Fee | Amount | Program Duration |
|---|---|---|
| Total Fee | 150000/- INR | 3.0 Years |
| Fees Structure | Amount |
|---|---|
| 1st Semester | 25000/- INR |
| 2nd Semester | 25000/- INR |
| 3rd Semester | 25000/- INR |
| 4th Semester | 25000/- INR |
| 5th Semester | 25000/- INR |
| 6th Semester | 25000/- INR |
Future university Ph.D (best ph.d. private university in bareilly) admission is based on merit and F-STAR scores.
| Category | Scholarship | Percentile |
|---|---|---|
| F-STAR (Future University Scholarship Test for Academic Recognition) |
100% of Tuition Fee | Percentile > 90 |
| 50% of Tuition Fee | Percentile 80 - 89.99 | |
| 30% of Tuition Fee | Percentile 75 - 79.99 | |
| 20% of Tuition Fee | Percentile 70 - 74.99 |
Future University stands apart through its strong research culture, interdisciplinary collaboration, and commitment to academic excellence and innovation. With modern research infrastructure, experienced supervisors, and a supportive scholarly ecosystem, the university empowers researchers to pursue meaningful and globally relevant doctoral work.
• Research driven doctoral programs
• Strong emphasis on innovation and applied research
• Advanced computing labs and research infrastructure
• Startup and incubation support
To nurture world class researchers and thought leaders in computer applications who are innovative, ethically responsible, and capable of advancing digital technologies through impactful research. The faculty strives to foster intellectual independence, scientific inquiry, and lifelong learning, empowering scholars to contribute to national development and global technological progress.
High-demand roles across global tech industries
Career Path: Universities and Higher Education Institutions
Teach, mentor, and conduct advanced research while contributing to academic scholarship and curriculum development.
Career Path: Research Labs and R and D Organizations
Lead research initiatives, publish scientific findings, and contribute to technological innovation.
Career Path: Technology and Engineering Industries
Drive advanced research, innovation, and product development within industrial research divisions.
Career Path: Think Tanks and Advisory Bodies
Provide expert insights on technology policy, innovation strategy, and research driven decision making.
• Develop advanced research expertise in computer applications and related technologies
• Promote original research, patents, and high quality scholarly publications
• Encourage interdisciplinary innovation and applied problem solving
• Build strong foundations in research ethics, analysis, and academic writing
• Prepare scholars for leadership roles in academia, research, and innovation driven industries
• Research intensive doctoral curriculum
• World class computing and research infrastructure
• Experienced faculty and research supervisors
• Strong focus on publications, patents, and innovation
• Access to national and international research databases
• Opportunities for funded projects and collaborations
• Startup and incubation ecosystem for technology commercialization
• Supportive academic and research environment
• Software Engineering and System Design
• Artificial Intelligence and Machine Learning
• Data Science and Big Data Analytics
• Cloud Computing and Distributed Systems
• Cybersecurity and Information Assurance
• Database Systems and Information Retrieval
• Web and Mobile Application Technologies
• Internet of Things and Smart Applications
• Emerging Technologies and Applied Computing Research
Where Intelligence Meets Innovation
