IndiaAI Fellowship 2026-27
IndiaAI Fellowship 2026-27 fresh application opportunity has been announced through a circular published by the Central University of Karnataka on 11 November 2026. The circular invites eligible students to apply for the existing national IndiaAI Fellowship Programme for the academic year 2026-27.
The fellowship opportunity is intended for eligible undergraduate, postgraduate, integrated dual-degree and PhD students pursuing studies and research in Artificial Intelligence and related areas.
Depending on the student category, potential financial support includes up to ₹1 lakh for eligible final-year undergraduate and integrated dual-degree students, up to ₹2 lakh for postgraduate students, and monthly fellowship support ranging from ₹70,000 to ₹80,000 for eligible PhD scholars, depending on their PhD year.
Eligible candidates must satisfy the academic, programme-enrolment and research requirements applicable to their category. The last date for fresh applications is 30 November 2026.
IndiaAI Fellowship 2026-27 – Overview
| Particulars | Details |
|---|---|
| Fellowship Name | IndiaAI Fellowship Programme |
| Academic Year | 2026-27 |
| Update Type | Fresh Applications |
| Circular Published By | Central University of Karnataka |
| Circular Date | 11 November 2026 |
| Programme Area | Artificial Intelligence and Related Fields |
| Eligible Categories | UG, Integrated Dual Degree, PG and PhD |
| Financial Support | Depends on student category |
| Application Mode | Online |
| Last Date to Apply | 30 November 2026 |
| Official Application Portal | fellowship.indiaai.gov.in |
Important: This is a fresh application window for an existing IndiaAI Fellowship Programme. It is not the launch of a new fellowship scheme.
IndiaAI Fellowship – Student Categories and Financial Support
The potential financial support differs according to the student’s academic category.
| Student Category | Potential Financial Support |
|---|---|
| Final-year UG / Integrated Dual Degree | Up to ₹1,00,000 |
| Postgraduate Students | Up to ₹2,00,000 |
| Eligible PhD Scholars | ₹70,000–₹80,000 per month, depending on PhD year |
The applicable fellowship support is subject to the programme guidelines, eligibility requirements and approval conditions.
Eligibility Criteria
Candidates must satisfy the academic and programme-specific eligibility conditions applicable to their student category.
1. Undergraduate and Integrated Dual-Degree Students
Eligible candidates may include students in the final year of undergraduate or integrated dual-degree programmes.
The general eligibility highlights include:
- Full-time enrolment in an eligible programme.
- At least three AI or data-related courses, as applicable.
- Minimum academic performance of 7.0 CGPA or 70%.
- Required project-guide, Head of Department or institutional endorsement.
2. Postgraduate Students
Postgraduate applicants must generally satisfy the following conditions:
- Full-time enrolment in an eligible postgraduate programme.
- At least three AI or data-related courses.
- Minimum academic performance of 7.0 CGPA or 70%.
- Required institutional or academic endorsement.
Candidates should verify the accepted postgraduate disciplines and other conditions in the official fellowship guidelines.
3. PhD Scholars
Eligible PhD applicants must satisfy separate requirements relating to:
- PhD enrolment status.
- Research area and relevance to Artificial Intelligence.
- Academic performance.
- Research progress and other programme-specific conditions.
- Required institutional endorsement.
The monthly fellowship support is indicated as ₹70,000–₹80,000, depending on the PhD year.
Important: PhD eligibility is governed by separate research, enrolment and academic requirements. UG and PG eligibility conditions should not automatically be applied to PhD applicants.
Academic Performance Requirements
The general academic performance threshold highlighted for undergraduate and postgraduate applicants is:
| Student Category | General Academic Requirement |
|---|---|
| UG Students | 7.0 CGPA / 70% |
| PG Students | 7.0 CGPA / 70% |
| PhD Scholars | Separate PhD-specific requirements |
Candidates should refer to the official guidelines for the precise calculation of academic performance and any additional conditions.
Institutional Endorsement Requirement
The application process includes an endorsement requirement.
Candidates should coordinate with their project guide, Head of Department or authorised institutional representative to obtain the required endorsement.
Applicants are advised to arrange the endorsement in advance rather than waiting until the final application date.
How to Apply for IndiaAI Fellowship 2026-27
Eligible students can submit fresh applications through the official IndiaAI Fellowship portal.
Follow these steps:
- Visit the official IndiaAI Fellowship portal.
- Open the application section for the 2026-27 fellowship programme.
- Read the eligibility guidelines for your student category.
- Identify the applicable fellowship category.
- Complete the online application with the required academic and personal details.
- Provide the required information about your AI or data-related courses and research, wherever applicable.
- Arrange the required project-guide, HoD or institutional endorsement.
- Upload the documents requested in the application portal.
- Review the application carefully before submitting it.
- Submit the application before 30 November 2026.
Official Application Portal: https://fellowship.indiaai.gov.in/
Candidates should follow the latest instructions displayed on the official portal.
Important Dates
| Event | Date |
|---|---|
| Central University of Karnataka Circular | 11 November 2026 |
| Fresh Application Deadline | 30 November 2026 |
Important Links
| Description | Link |
|---|---|
| IndiaAI Fellowship Application Portal | Apply Online |
| Official CUK Circular and Guidelines | Download Circular |
| Central University of Karnataka | Official Website |
Frequently Asked Questions (FAQs)
1. What is the IndiaAI Fellowship 2026-27?
It is a fellowship programme supporting eligible students pursuing studies and research in Artificial Intelligence and related fields.
2. Is this a new fellowship scheme?
No. This is a fresh application opportunity for the existing IndiaAI Fellowship Programme for the academic year 2026-27.
3. What is the last date to apply?
The last date for fresh applications is 30 November 2026.
4. How much financial support is available for undergraduate students?
Eligible final-year UG and integrated dual-degree students may receive support of up to ₹1 lakh, subject to programme conditions.
5. What is the financial support for postgraduate students?
Eligible postgraduate students may receive financial support of up to ₹2 lakh.
6. How much fellowship support is available for PhD scholars?
Eligible PhD scholars may receive ₹70,000–₹80,000 per month, depending on their PhD year and applicable programme conditions.
7. Are AI-related courses required?
UG and PG applicants generally need at least three AI or data-related courses, subject to the official guidelines.
8. Is institutional endorsement required?
Yes. Project-guide, Head of Department or institutional endorsement is required as applicable to the candidate’s category.
9. Where can students apply?
Students can apply through the official portal: https://fellowship.indiaai.gov.in/
Important Instructions for Applicants
- Read the official fellowship guidelines before applying.
- Select the correct academic category.
- Check the separate eligibility requirements for PhD scholars.
- Verify the academic performance requirements.
- Ensure that the AI or data-related course requirements are satisfied where applicable.
- Arrange the required institutional endorsement.
- Submit the application before 30 November 2026.
- Check the official portal for updates and application instructions.
Disclaimer: KarnatakaInfo.com provides scholarship and fellowship information for informational purposes only. The official IndiaAI Fellowship guidelines and application portal are the final authorities regarding eligibility, financial support, documentation and selection. KarnatakaInfo.com is not affiliated with the IndiaAI Fellowship Programme or Central University of Karnataka.