Doctoral Programmes

School

Indicative Areas

PhD degree

Approx. Vacancies
 

School of Computer Science & Engineering (SoCSE)

Theoretical Computer Science: Algorithms, Automated Theorem Proving, Computational Complexity, Cryptography, Formal Methods, Game Theory, Graph Theory, Mathematics for Computer Science, Optimization, Quantum Computing.

 
Computational Intelligence: Cognitive Computing, Computer Vision, Machine Learning, Natural Language Processing.

 
Systems & Networks: Computer Architecture, Cyber Physical Systems, Networked Systems, Security, Privacy and Trust, System Software (Operating Systems, Compiler Design), Software Engineering, Data Engineering(Database Systems, Big Data, Blockchain), Ubiquitous Computing.

Engineering, Technology

17

School of Electronic Systems and Automation (SoE)

AI Hardware: VLSI, Edge AI, Neuromorphic systems, Embedded SoC, Intelligent sensors, Filter designs, Imaging hardware, Deep learning chips

 
AI Robotics: Co-robotics, Drone design, IOT, NLP and conversational AI, Image processing, Data fusion applied to robotics

 
Signal Processing and Automation: Industry 4.0, Control Systems, Signal Processing, Computer Vision, Sensor systems, Power systems, Electric Vehicles

 
Computational Imaging System: Medical Imaging, Sparse Signal Processing, Image processing, Signal Processing, Medical Image Fusion

Engineering

9

Business Intelligence, Business Policy

 
Computational Economics, Computational Finance, Computational Social Science, Computational Linguistics/ Forensic Linguistics, Crowdsourcing Analytics

 
Design Thinking and Innovation, Digital Economy, Digital Humanities, Digital and distributed Journalism, Digital Media Design, Digital Pedagogy

 
Econometrics, e-Democracy, e-Governance, Educational Technology

 
Internet studies/ Social Science of the Internet, Innovation and Entrepreneurship

 
Management Sciences, Social Analytics, Social Media and Public Order Management, Technology Governance and Management

Social Science/ Technology

(Admissions to the School of DiHLA will be notified only after Feb 2022)

NA

School of Digital Sciences

Financial Analytics & Digital Economics, Biocomputing & Drug Design

 
Natural Sciences, Nature Inspired Computing

 
Computational Epidemiology, Chaos & Non-conventional Energy

 
Geosciences, Agri Sciences, Health, Media & Social Media

 
Technology Innovation, Neural and Cognitive sciences, Computational Genomics & Molecular Medicine, Traditional knowledge protection

Technology, Science

3

School of Informatics

Ecological Physics

 
Earth Observation

 
Sustainable Development

 
Traditional Ecological Knowledge

 
Floral Radiometry

 
Acoustic Ecology

Science

1

Program type

Remarks

Entry requirement

Full-time Regular PhD

This is a full-time program where the candidate is expected to undertake PhD Program after 6 years (4 years bachelors + 2 years Masters) of study for Engineering PhD

OR

5 years (3 years bachelors + 2 years Masters) of study for Science/ Technology/ Social Sciences PhD.

Work location is a research lab in the university.

MSc/MCA/MTech/MBA/MA/MCom in relevant discipline.

Industry Regular PhD

The candidate is expected to work full-time in the University or industry research lab approved by the university. The workplace proposed by the candidate for research work will be evaluated and need to be approved as the research lab by the PhD selection committee.

MSc/MCA/MTech/MBA/MA/MCom in relevant discipline.

The applicant is required to have at least 5 years of relevant full time work experience after graduation at an officer / executive level.

This is a part-time program where the candidate is expected to work with a faculty member remotely while in a full-time employment.

MSc/MCA/MTech/MBA/MA/MCom in relevant discipline.

The applicant is required to have at least 5 years of relevant full time work experience after postgraduation at an officer / executive/teaching/ Industry level.

Program type

Coursework component

Research component

Full-time Regular PhD

Year 1 (Semester 1):10-15 Credits.

Year 1 (Semester 2): 0-05 Credits.

Year 2 (Semester 1): 0-05 Credits.

Year 2 (Semester 2) and further: None

Comprehensive exam: 15 credits (to be completed within 2 years)

Research Credits: 150

(maximum research credits per semester is limited to 30)

Dissertation: 120 credits

Industry Regular PhD

Year 1 (Semester 1):10-15 Credits.

Year 1 (Semester 2): 0-05 Credits.

Year 2 (Semester 1): 0-05 Credits.

Year 2 (Semester 2) and further: None

Comprehensive exam: 15 credits (to be completed within 2 years)

The students are required to undergo an in-campus residential full time research Internship Program of minimum 45 normal working days.

Research Credits: 150

(maximum research credits per semester is limited to 30)

Dissertation: 120 credits

Year 1 (Semester 1):10-15 Credits.

Year 1 (Semester 2): 0-05 Credits.

Year 2 (Semester 1): 0-05 Credits.

Year 2 (Semester 2) and further: None

Comprehensive exam: 15 credits (to be completed within 2 years)

The students are required to undergo an in-campus residential full time research Internship Program of minimum 45 normal working days.

Every year the student completes a mandatory 15 continuous working days of full time residential program.

Research Credits: 150

(maximum research credits per semester is limited to 30)

Dissertation: 120 credits

Program type

Requirements

Full-time Regular PhD

 1. This is a full-time program with students having Masters or equivalent degrees. A total of 6 years of study  4 years bachelors and 2 years of masters is required to be eligible for a PhD in Engineering disciplines (Faculty of Engineering). While for non-engineering disciplines (Faculty of Sciences, Faculty of Social Sciences, Faculty of Technology) a minimum of 5 years of study including bachelors and masters are required. The candidates who have completed a 6 years of study including a bachelor and Masters are eligible to be considered in any faculty, provided they meet the school specific admission requirements.

 
2. The applicants are shortlisted based on the DRAT score (with minimum cut off of 60 percentile) or valid GATE score (with minimum cut off of 80 percentile). Those who have qualified NET/JRF or any other national fellowship exams approved by UGC in relevant disciplines are exempted from DRAT exam. Appropriate relaxations in cut-off are applicable for OBC/SC/ST candidates.

 
3. Composite score of 80% for DRAT or equivalent, and 20% for educational qualification is used for shortlisting the applicants. Final selection of the shortlisted candidates to the program is done through an interview with the graduate admission committees within the individual schools, and must be approved by the academic council.

Industry Regular PhD

 1. This is a full-time program with students having Masters or equivalent degrees. A total of 6 years of study consisting of 4 years bachelors and 2 years of masters are required to be eligible for a PhD in Engineering disciplines (Faculty of Engineering). While for non-engineering disciplines (Faculty of Sciences, Faculty of Social Sciences, Faculty of Technology) a minimum of 5 years of study including bachelors and masters are required. The candidates who have completed a 6 years of study including a bachelor and Masters are eligible to be considered in any faculty, provided they meet the school specific admission requirements.

2. The applicants are shortlisted based on a composite score calculated based on performance in DRAT/GATE or NET/JRF or any other national fellowship exams approved by UGC in various disciplines, as well as their educational qualifications, work experience and statement of purpose. The DRAT score will be considered valid only if the candidate scores above 60 percentile. Only the valid GATE above 80 percentile is considered valid for computing the composite score. For candidates who score below the minimum or who do not possess any such scores in the above exams, the admission test score component of the composite score will be treated as zero.

3. The applicant is required to have at least 5 years of relevant full time work experience after postgraduation at an officer / executive/Industry level.

4. The applicant must be a full-time employee of the industry at the time of admission.

5. Composite score of 30% for work experience, 20% for DRAT or equivalent, 20% for statement of purpose, 10% for recommendation letters and 20% for educational qualification is used for shortlisting the applicants. Final selection of the shortlisted candidates to the program is done through an interview with the graduate admission committees within the individual schools, and must be approved by the academic council.

 1. This is a Part-time program with students having Masters or equivalent degrees. A total of 6 years of study consisting of 4 years bachelors and 2 years of masters are required to be eligible for a PhD in Engineering disciplines (Faculty of Engineering). While for non-engineering disciplines (Faculty of Sciences, Faculty of Social Sciences, Faculty of Technology) a minimum of 5 years of study including bachelors and masters are required. The candidates who have completed a 6 years of study including a bachelor and Masters are eligible to be considered in any faculty, provided they meet the school specific admission requirements.

2. The applicant is required to have at least 5 years of relevant full time work experience after postgraduation at an officer / executive/teaching/Industry level.

3. The applicants are shortlisted based on a composite score calculated based on performance in DRAT/GATE or NET/JRF or any other national fellowship exams approved by UGC in various disciplines, as well as their educational qualifications, work experience and research proposal. The DRAT score will be considered valid only if the candidate scores above 60 percentile. Only the GATE score above 80 percentile is considered valid for computing the composite score. For candidates who score below the minimum or who do not possess any such scores in the above exams, the admission test score component of the composite score will be treated as zero.

4. Composite score of 30% for work experience, 20% for DRAT or equivalent, 20% for statement of purpose, 10% for recommendation letters and 20% for educational qualification is used for shortlisting the applicants. Final selection of the shortlisted candidates to the program is done through an interview with the graduate admission committees within the individual schools, and must be approved by the academic council.

Program type

University Scholarship**

Tuition Fees*

Full-time Regular PhD

 
Rs 20,000 per month for the first year Rs 25,000 per month for second year and Rs 30,000 per month for third year

 
No scholarship from year 4 onwards.

 
No tuition fee (Year 1-5)

 
50% Fee concession (Year 6)

 
Re-registration with full fee is required from Year 7 onwards)

Industry Regular PhD

No scholarship

Rs 50,000 per year

No scholarship

Rs 50,000 per year