Doctor of Philosophy (Ph.D.) in Computer Science

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Doctor of Philosophy (Ph.D.) in Computer Science

Department of Computer Applications and Technology

Programme Level

Doctoral

Duration

Cwork1+2

About the Programme

The Doctor of Philosophy (PhD) represents the pinnacle of academic achievement. PhD candidates devote themselves to intensive research to further knowledge in their field of study. Under faculty guidance, students cultivate the skills of an independent scholar. The heart of the PhD is an original research project that expands or challenges current thinking. Students must defend this work publicly to examine committees. The PhD trains expert researchers equipped to advance human understanding. Doctoral studies focus on asking new questions, solving complex problems with rigor and nuance, communicating ideas, and guiding others in the pursuit of truth. Ultimately, PhD recipients become lead authorities in their discipline. They join the ranks of professors, pioneering scientists, and senior advisors across sectors. The PhD empowers graduates to steer the trajectory of intellectual dialogue in their niche area of expertise. With courage and creativity, they illuminate the unknown and make groundbreaking contributions that shape the future.

PhD in Computer Science is a rigorous research-focused program that equips candidates with advanced knowledge and skills to address complex problems in computing and technology. PhD candidates typically engage in extensive research under the guidance of experienced faculty, culminating in a dissertation that advances the state of the art in their chosen specialization. The program also emphasizes critical thinking, problem-solving, and academic writing, preparing graduates for careers in academia, industry, and research institutions.

Eligibility

A candidate seeking admission after a 2-year (4-semester) master’s degree should have at least an aggregate of 55% marks or its equivalent grade ‘B’ on the UGC 10-point scale.
A candidate seeking admission after a 4-year (8-semester) bachelor’s degree in research should have a minimum CGPA of 7.5/10 with DBT-BET/ ICMR-JRF/ GATE/ UGC-NET/ CSIR-JRF/ ARS-NET/ GPAT qualifications.
Candidates who have secured their master’s degree under (10+2) +3+2 or (10+2) +4+2 or (10+2) +4 patterns of study are eligible to enroll in the PhD programmes as per NEP 2020.
A 1-year (2-semester) master’s degree after 4-year undergraduate degree/ 5 years integrated master’s degree with at least an aggregate 55% marks or its equivalent grade ‘B’ in the UGC 10-point scale or an equivalent grade on a point scale wherever grading system is followed or an equivalent degree from a foreign educational institution accredited by approved, recognized by an authority, and established or incorporated under a law in its home country or any other statutory authority in that country to assess, accredit or assure quality and standards of educational institutions.

Fee Structure

Duration

Cwork1+2

Tuition Fee (per annum)

75,000

Exam Fee (per annum)

20,000

Program Structure

Programme Objectives

To foster research excellence in cutting-edge areas of computer science through independent and original investigation.

To develop advanced technical and theoretical knowledge in specialized domains like AI, machine learning, cybersecurity, data science, software engineering, etc.

To cultivate innovation and problem-solving skills for addressing real-world, interdisciplinary challenges.

To prepare professionals for leadership roles in academia, research, and industry.

To instil ethical, social, and environmental responsibility in research and professional practice.

To encourage lifelong learning and enable global research competence.

Programme Outcomes

Research Competence: Demonstrate ability to conduct high-quality, original, and publishable research in computer science.

Advanced Knowledge: Acquire and apply deep theoretical and technical knowledge in focused areas of computer science.

Problem-Solving and Innovation: Analyze complex computational problems and design novel, efficient, and scalable solutions.

Technical Proficiency: Use modern computing tools, simulation platforms, and frameworks for implementing research solutions.

Scholarly Communication: Communicate research findings effectively through journal publications, conference presentations, and academic discourse.

Ethics and Professionalism: Practice ethical research, maintain academic integrity, and demonstrate responsibility in professional activities.

Collaboration and Leadership: Work independently and collaboratively in multidisciplinary teams, demonstrating leadership in research initiatives.

Lifelong Learning: Continuously upgrade knowledge and skills to keep pace with technological advancements and research developments.

Societal and Environmental Awareness: Evaluate the broader societal, legal, and environmental impacts of research and develop solutions aligned with sustainable development goals (SDGs).

Programme Educational Objectives

Research Leadership: The students will become independent researchers and lead cutting-edge investigations in theoretical and applied areas of computer science.

Academic and Scientific Contribution: The students will contribute to academia through teaching, publishing in high-impact journals, and mentoring future professionals.

Industrial Innovation and Collaboration: The students will apply their expertise to solve complex problems in industry through research, innovation, and collaboration.

Ethical and Societal Impact: The students will conduct responsible research that adheres to ethical standards and contributes positively to society and national development.

Lifelong and Interdisciplinary Learning: The students will engage in lifelong learning and interdisciplinary collaboration to adapt to evolving technologies and research frontiers.

Programme Specific Outcomes (PSOs)

To demonstrate advanced expertise in theoretical and applied aspects of computer science contributing towards the development of innovative solutions.

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A candidate seeking admission after a 2-year (4-semester) master’s degree should have at least an aggregate of 55% marks or its equivalent grade ‘B’ on the UGC 10-point scale.
A candidate seeking admission after a 4-year (8-semester) bachelor’s degree in research should have a minimum CGPA of 7.5/10 with DBT-BET/ ICMR-JRF/ GATE/ UGC-NET/ CSIR-JRF/ ARS-NET/ GPAT qualifications.
Candidates who have secured their master’s degree under (10+2) +3+2 or (10+2) +4+2 or (10+2) +4 patterns of study are eligible to enroll in the PhD programmes as per NEP 2020.
A 1-year (2-semester) master’s degree after 4-year undergraduate degree/ 5 years integrated master’s degree with at least an aggregate 55% marks or its equivalent grade ‘B’ in the UGC 10-point scale or an equivalent grade on a point scale wherever grading system is followed or an equivalent degree from a foreign educational institution accredited by approved, recognized by an authority, and established or incorporated under a law in its home country or any other statutory authority in that country to assess, accredit or assure quality and standards of educational institutions.

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