Admissions Open 2026-2027. Apply Now Admissions Open 2026-2027. Apply Now Admissions Open 2026-2027. Apply Now Admissions Open 2026-2027. Apply Now Admissions Open 2026-2027. Apply Now Admissions Open 2026-2027. Apply Now

The Doctor of Philosophy (Ph.D.) at the Alliance School of Advanced Computing (ASAC) is a rigorous, research-intensive doctoral programme designed to develop high-impact researchers, academicians, and technology leaders. The programme emphasizes advanced theoretical foundations, experimental research, and real-world problem solving in cutting-edge areas of Computer Science and Engineering.
The Ph.D. programme nurtures scholars to produce original, publishable research that contributes significantly to academia, industry, and society. With access to experienced faculty, interdisciplinary research groups, modern computing infrastructure, and industry collaborations, scholars are trained to address complex challenges in AI, data-driven systems, computing architectures, and emerging digital technologies.

Why Choose
Ph. D. - CSE
at Alliance University?
Lorem Ipsum is simply dummy
Academic Experience
Research methodology, publication ethics, academic writing, specialization papers, research practicum
Research & Innovation
Opportunities for case studies, national and international workshops, funded research, and innovation projects
Mentorship & Industry Integration
Supervision by global faculty, dual mentorship, and collaboration with industry and international scholars
Scholarly Grants & Research Fellowships
Research fellowships, contingency grants, and international conference funding
World-Class Information & Lab Infrastructure
Extensive library, databases (IEEE, Scopus, Harvard Case Studies), and AU-STIC instrumentation facility
Elite Global Mentorship & Faculty
Interaction with 40+ Ivy League supervisors and faculty ranked among top 2% of scientists
Innovation Hubs & Venture Capital
Access to Centres of Excellence and ?10 crore entrepreneurial fund
Research Publication and Ethics
Academic Writing Learning and Development Research Methodology Technical Seminar Subject Core/ Directed Papers
Advanced AI

Sustainable Data Analytics
AIoT in Electric Vehicles
Advanced Natural Language Processing
Explainable, Interpretable and Sustainable Deep Learning in Healthcare
Advanced Computer Vision
Natural Language Processing
Data Analytics
Data Science for Sustainable and Equitable Future
Semantic Analysis of Medical Industry Data Using Machine Learning
Explainable AI: Bridging the Gap between inference and interpretation
IoT: AIML in Enhance Network Reliability
Generative AI

-
PEO (Program Educational Objectives)

-

PSO (Program Specific Outcomes)

-

PO (Program Outcomes)

1. Research Competence & Knowledge Creation
Demonstrate proficiency in applying advanced research methodologies, analytical techniques, and experimental designs to produce quality research

2. Research Ethics & Integrity
Uphold ethical research practices, ensuring compliance with academic integrity, plagiarism standards, and responsible data management

3.Effective Communication & Knowledge Dissemination
Demonstrate proficiency in academic writing, presentation, and public discourse

4.Societal Impact
Align research with societal needs and Sustainable Development Goals (SDGs), contributing to policy, industry, and community-driven advancements
5.Lifelong Learning & Continuous Professional Development

Commit to continuous learning and professional growth by staying updated with emerging trends, theories, and best practices in the field

Activity Points

Learn More
STUDY ABROAD OPTIONS

Learn Across Borders

Experience global education through our international study opportunities designed to broaden academic perspectives and cultural understanding. These programmes enable students to study at partner universities abroad, gain international exposure, and develop the global competencies needed to succeed in an interconnected world.
Learn More

b. Join Global Summer/Winter Schools and Workshops – Short-term academic and research immersion programs designed to enhance technical expertise, expose students to global research methodologies, and facilitate networking with international scholars. c. Pursue Joint Research and Collaborative Publications – Collaborate with faculty and researchers from partner institutions on high-impact publications, leveraging cross-institutional mentorship and diverse analytical approaches. d. Engage in Twinning or Collaborative Doctoral Programs – Split research tenure between ASAC and an overseas partner institution to benefit from multiple research environments, interdisciplinary perspectives, and access to international CoEs and labs.

• Applicants holding a master’s degree with a minimum 55% marks or equivalent Grade in a point scale as may be prescribed by the UGC from time to time, wherever the grading system is followed.

• Applicants whose results of the final examination of a program leading to a master’s degree are awaited can be given provisional admission if he/she fulfils other requirements for admission. After the provisional admission, the candidate will be required to furnish proof of completing a master’s degree with a minimum of 55% marks within three months from admission, failing which his / her admission will be cancelled.

• Applicants holding foreign Degree’s equivalent to that of a Master’s degree study with minimum 55% marks or equivalent Grade in a point scale as may be prescribed by the UGC from time to time, wherever grading system is followed; Provided that applicants with a foreign Degrees shall be admitted to the Ph.D. programme, subject to clearance by the Equivalence Committee of Alliance University.

• Applicants having completed M.Phil. Coursework with a minimum 55% marks in aggregate or its equivalent Grade, in the UGC point scale, and those candidates who have their M.Phil. Dissertation evaluated, but viva-voce is pending, maybe may also be admitted to the Ph.D. programme.

• Applicants possessing a degree approved as equivalent to the M.Phil. Degree in India, obtained from a foreign Educational Institution accredited by the UGC, if candidates with a degree from a foreign Institution shall be admitted to the Ph.D. programme, subject to the clearance by the Equivalence Committee of Alliance University.

• Admission of candidates belonging to the SC/ST/OBC, or other reserved categories shall be governed by the Karnataka State Rules in this regard, from time to time.

• Students from a four-year undergraduate programme (with Honors) can enroll directly if they have scored 75% or above, with a 5% relaxation for specified categories as per UGC regulations. Those who have scored between 55% and 75% may qualify after completing either a one-year mastes programme or a bridging course of 36-40 credits. (Refer to National Credit Framework NCrF 2024).

• For students from a three-year undergraduate programme, Ph.D. eligibility requires the completion of a bridging programme of 36-40 credits along with the necessary coursework. (Refer to National Credit Framework NCrF 2024).

Program duration

Entry Level Program Duration
Entry Level 3–6 years (full-time)

ACCEPTED TEST SCORES
ARAT
ARAT
ARAT
ARAT

 

Particulars Indian Nationals Foreign Nationals
Registration Fee ₹50,000 $600
program Fee (Per Annum) ₹1,00,000 $1,400
Comprehensive Exam Fee ₹20,000
Thesis Submission Fee ₹30,000
Doctoral Scroll Free ₹5,000
Convocation Fee ₹3,000
Alumni Association Fee ₹3,000

 

Category Eligibility / Scope Grant Amount / Benefits
Research Fellowship Full-time scholars ₹35,000 per month
Contingency Grant Full-time scholars ₹25,000 per year
International Conference Funding Case-by-case basis; once during the program Up to ₹1,00,000
National Workshop Funding Scholars not receiving other funding support ₹30,000 per year
Inclusion & Special Provisions Women scholars and differently-abled scholars Special provisions and relaxations; access to Centres of Excellence and entrepreneurial fund of ₹10 Crores
Policy Conditions Awards and funding are subject to review by the Scholarship / Research Committee; limited availability on a first-come-first-served basis
Learn more
Steps Description
Step 1 Submit online application
Step 2 Pay Application Fee — ₹3,000
Step 3 Alliance Research Aptitude Test (ARAT)
Step 4 Personal Interview
Step 5 Evaluation of research synopsis on proposed dissertation
Step 6 Consideration of scholastic record, work experience, and extracurricular achievements; final selection based on overall performance
Start your application now

Living Spaces That Inspire Belonging

EXPLORE OUR HOSTELS

Comfort, safety, and community form the foundation of campus living. Our residential halls are thoughtfully designed to create a sense of belonging—offering a welcoming environment where students can study, unwind, and build lifelong friendships.

Separate hostels
for boys and girls

Student-friendly
common areas

Spacious rooms
(single, double, or triple occupancy)

Dedicated wardens
and support teams

residential-image-update

Real Stories, Real Impact

STUDENT


Everything You Need to Know

What is Ph. D. in Computer Science and Engineering?
The Ph.D. in Computer Science and Engineering is a research-intensive doctoral program designed for scholars who want to contribute original research by developing new processes, products, or technologies in areas such as AI/ML, Data Science, Cyber Security, Cloud Computing, and AIoT, with a strong emphasis on supporting the sustainable development goals.
Can I do a Ph. D. in Computer Science after MCA?
Yes. Applicants with an MCA from a recognised university with at least 55 percent marks in a relevant discipline, in line with UGC norms, can apply for a Ph. D. in Computer Science and Engineering. For further details, refer to the eligibility criteria in the Admissions Process Page.
Is Ph. D. in Computer Science useful?
Yes. The program is positioned to create thought leaders and change agents who address global challenges, bridge academia–industry gaps, and drive innovation in high-demand areas like AI/ML, Data Science, Cloud Computing, and Cyber Security.
Who is eligible for Ph. D. in Computer Science and Engineering?
Applicants must hold a master’s degree (or equivalent) with a minimum of 55 percent marks or equivalent grade. Graduates of four-year undergraduate (Honours) programs with 75% or above may apply directly. Eligibility is also extended to candidates with M.Phil., foreign master’s degrees approved by the university’s Equivalence Committee, and high-performing honours graduates who satisfy National Credit Framework conditions.
Can I do Ph. D. without NET exam?
Yes. A NET qualification is not mandatory. Candidates without NET can be admitted based on the Alliance Research Aptitude Test (ARAT) and interview. NET-qualified candidates may be exempt from ARAT.
What are the major research areas under this program?
Research areas include Artificial Intelligence and Machine Learning, AIoT, Data Science, Cyber Security, and Cloud Computing, with opportunities to explore related computing domains.
How long does it typically take to complete a Ph. D. in CSE?
The duration ranges from three to six years depending on research progress and UGC regulations.
What kind of research opportunities are available in AI, Data Science, and Cyber Security?
Scholars can work on deep learning, intelligent systems, cyber defence, big data analytics, cloud solutions, and AI-driven applications through Centres of Excellence and supervised research projects.
Does the program encourage interdisciplinary research with other fields?
Yes. Scholars are encouraged to integrate computing research with engineering, business, healthcare, and sustainability domains.
What kind of infrastructure facilities and labs are available for research in CSE?
The University provides advanced computing labs, AI and data science labs, cyber security centres, robotics labs, cloud computing environments, and high-performance systems.
Can Ph. D. students collaborate with industry for applied research projects?
Yes. The University supports industry collaboration through Centres of Excellence, funded projects, and academic–industry partnerships.
What financial support or fellowships are available for Ph. D. scholars?
Full-time scholars receive a monthly fellowship of INR 35,000 and an annual contingency grant of INR 25,000, along with support for conferences and research activities.
How does this Ph. D. program prepare candidates for an academic career?
The program includes research methodology training, publication requirements, access to databases like IEEE and Scopus, and opportunities to present at conferences.
What career opportunities exist in industry after a Ph. D. in CSE?
Graduates can pursue careers in AI research, data science, cyber security, cloud architecture, and advanced computing roles based on their specialization.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. +

Lorem Ipsum is simply dummy text of the printing and typesetting industry.

Lorem Ipsum is simply dummy text of the printing and typesetting industry. +

Lorem Ipsum is simply dummy text of the printing and typesetting industry.

Lorem Ipsum is simply dummy text of the printing and typesetting industry. +

Lorem Ipsum is simply dummy text of the printing and typesetting industry.

Lorem Ipsum is simply dummy text of the printing and typesetting industry. +

Lorem Ipsum is simply dummy text of the printing and typesetting industry.

Lorem Ipsum is simply dummy text of the printing and typesetting industry. +

Lorem Ipsum is simply dummy text of the printing and typesetting industry.

Lorem Ipsum is simply dummy text of the printing and typesetting industry. +

Lorem Ipsum is simply dummy text of the printing and typesetting industry.

Lorem Ipsum is simply dummy text of the printing and typesetting industry. +

Lorem Ipsum is simply dummy text of the printing and typesetting industry.

Lorem Ipsum is simply dummy text of the printing and typesetting industry. +

Lorem Ipsum is simply dummy text of the printing and typesetting industry.

Lorem Ipsum is simply dummy text of the printing and typesetting industry. +

Lorem Ipsum is simply dummy text of the printing and typesetting industry.

Lorem Ipsum is simply dummy text of the printing and typesetting industry. +

Lorem Ipsum is simply dummy text of the printing and typesetting industry.

Lorem Ipsum is simply dummy text of the printing and typesetting industry. +

Lorem Ipsum is simply dummy text of the printing and typesetting industry.

Lorem Ipsum is simply dummy text of the printing and typesetting industry. +

Lorem Ipsum is simply dummy text of the printing and typesetting industry.

Course Framework

Course Type Course Name Credits
University Core Research and Publication Ethics 2
University Core Academic Writing and Communication 1
University Core Learning and Development 1
Department Core Research Methodology 4
Department Core Directed Course – Research Oriented Advanced Topics in Computer Science 4
Total Credits 12

Program Outcomes

  • Research Competence & Knowledge Creation – Demonstrate proficiency in applying advanced research methodologies, analytical techniques, and experimental designs to produce high-quality research.
  • Research Ethics & Integrity – Uphold ethical research practices, ensuring compliance with academic integrity, plagiarism standards, and responsible data management.
  • Effective Communication & Knowledge Dissemination – Demonstrate proficiency in academic writing, presentations, and scholarly communication.
  • Societal Impact – Align research with societal needs and the Sustainable Development Goals (SDGs), contributing to policy development, industry advancement, and community-driven solutions.
  • Lifelong Learning & Continuous Professional Development – Commit to continuous learning and professional growth by staying updated with emerging trends, theories, and best practices in the field.

Research Highlights

  • UGC-compliant Ph.D. programme with structured coursework
  • Strong focus on theoretical depth, algorithmic rigor, and system design
  • Research mentorship by experienced faculty with Scopus / SCI publications
  • Interdisciplinary research opportunities across Engineering, Sciences, and Management
  • Access to advanced computing labs and research tools
  • Opportunities for industry collaboration, consultancy, and funded projects
  • Emphasis on high-quality journal publications, patents, and technology transfer
  • Full-time and part-time Ph.D. options as per university norms
  • Real-World, Impact-Oriented Research – The programme is designed around high-impact research themes aligned with real-world challenges in Data Analytics, AI/ML, Cloud Computing, Computer Vision, Cybersecurity, Quantum Computing, and Smart Systems. Scholars are encouraged to solve current and emerging problems across sectors like healthcare, finance, urban development, and national security.
  • Interdisciplinary & Industry-Linked Ecosystem – Ph.D. scholars benefit from an interdisciplinary environment with access to cutting-edge labs, industry collaborations, and joint research projects with global technology companies and government agencies. The programme fosters innovation through partnerships, incubation support, and collaborative R&D opportunities.
  • Personalized Mentorship and Global Outlook – With a strong faculty team and a low scholar-to-supervisor ratio, the programme ensures individualized research guidance. Regular international conferences, invited talks, and collaborative programmes with reputed universities provide scholars with a global research perspective and strong academic visibility.
  • Incubation and Start-Up Support – The programme provides dedicated mentorship and infrastructure to nurture entrepreneurial aspirations. With access to incubation centres, funding avenues, and expert guidance, scholars are empowered to transform innovative ideas into viable start-ups within a supportive ecosystem.
  • Research Collaborations and Funded Projects – The programme offers avenues to engage in cutting-edge, funded research in partnership with global organizations and research agencies. These collaborations open opportunities for impactful contributions, international exposure, and career advancement.
  • Patent and Publication Support – Ph.D. scholars receive end-to-end support for filing patents and publishing in high-impact international journals. The institution offers free patent filing for students and faculty, along with expert guidance on intellectual property rights and research dissemination.
  • 24/7 Digital Learning Resources – Scholars enjoy round-the-clock access to a comprehensive suite of digital learning tools, including e-books, online journals, databases, and specialized platforms, ensuring continuous learning and research productivity beyond classroom hours.

Areas of Research

  • Artificial Intelligence and Machine Learning
  • Deep Learning and Computer Vision
  • Natural Language Processing
  • Data Science and Big Data Analytics
  • Quantum Computing and Quantum Algorithms
  • Cyber Security and Cryptography
  • Internet of Things (IoT) and Embedded Systems
  • Cloud Computing and Distributed Systems
  • Software Engineering and Software Architecture
  • Blockchain Technologies
  • High Performance Computing
  • Computational Intelligence and Optimization

Interdisciplinary Research Areas

  • Interdisciplinary research proposals involving Electronics, Mathematics, Management, Healthcare, Energy, and Smart Systems are strongly encouraged.
AU