Limited-Time Scholarship for AI & ML Programs Is Now Live

Limited-Time Scholarship for AI & ML Programs Is Now Live

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Riya
Riya Jeet
Consultant
Updated on Jul 28, 2026 14:58 IST
The automation and intelligence of the world are increasing every passing day; the domain of machine learning and artificial intelligence has become extensive in terms of its scope. With a dearth of the professional in this area, to facilitate the talented and ambitious students

A limited-time scholarship for AI & ML programs is now open at Manav Rachna, offering fee waivers based on academic merit and entrance performance. The application window is tied to the current admission cycle, so eligible students should apply promptly. 

Introduction

The automation and intelligence of the world are increasing every passing day; the domain of machine learning and artificial intelligence has become extensive in terms of its scope. With a dearth of the professional in this area, to facilitate the talented and ambitious students, we have created this time-bound scholarship programme for those students possessing the analytical skillset and are willing to enter this high-in-demand domain.

Why AI & ML Programs Are in High Demand?  
Applications of artificial intelligence in different areas such as healthcare, finance, logistics and manufacturing, etc., have increased its importance to such an extent that AI & ML are considered one of the highest-in-demand specialisations among engineering and technology students these days. Here are the reasons behind that:

  • Cross-Industry Application of AI & ML: Artificial intelligence is no longer a domain of traditional software development. Nowadays, the healthcare sector, corporate finance, logistics and even advanced manufacturing depend on AI frameworks for their routine operation.
  • Demand for Premium Career Roles: There is a lack of specialised engineers. Hence, the graduates with the right skillset can easily get highly paying career roles with surprising diversity. Graduates having the right skillset can occupy the role of data engineer, machine learning developer, AI system designer, and applied researcher.
  • Computer Science Evolution: There have been changes in the expectation of tech jobs. Now there is quite some overlapping between the core computer science lane and applied artificial intelligence, thus, the need for specialisation becomes more and more pressing. The area of specialisation becomes the baseline expectation for many technical roles.

Why is this scholarship time-bound?
Understanding the structure of the scholarship can help understand why the scholarship is time-bound:

  • Alignment with admission cycle: Since the scholarship funding process aligns closely with the current admission year, these are designed to be dynamic incentives for the next set of students enrolling, rather than being permanent and ongoing incentives.
  • High demand for limited scholarship spots: Streams that specialize in artificial intelligence are in high demand. Therefore, the scholarship spots are fairly limited when compared with the overall seats in the program and may run out quite fast.
  • Advantages of early application: Early application does more than just ensuring you don’t lose your scholarship. Early applicants usually have an easier academic transition process, and they will be able to get access to certain laboratory allocations as well.

Eligibility and what the scholarship actually covers:

Here's a practical overview of eligibility and what the scholarship covers:

Criteria

Details

Minimum Qualifying Criteria

UG applicants: 10+2 with Physics, Chemistry, and Mathematics (PCM) and strong overall academic performance.

PG applicants: A relevant undergraduate degree from a recognized university.

Selection Benchmarks

Based entirely on aggregate academic percentages or performance in national/university-specific entrance examinations, merit-driven, not discretionary.

Scholarship Coverage & Renewal

Covers a significant portion of tuition fees; renewal each semester is conditional on maintaining the required CGPA and a clean academic record.

How to Apply?
In order to ensure that you get your slot reserved in this scholarship round, follow these steps carefully:
Step 1: Portal Access: Visit the official admissions portal of the university, create your account there and choose the AI & ML specialization.
Step 2: Document Submission: Upload all necessary documents including mark sheets of 10th and 12th, graduate certificates (if any), entrance exam scorecards along with the government-issued ID card.
Step 3: Final Confirmation: Crosscheck the provided information quickly and click on submit button before the deadline.

Conclusion
In this scholarship round, you get the excellent opportunity to reduce cost barrier while enrolling yourself in one of the premium technology specialization courses. Since the financial assistance period is directly related to the admission cycle of this year, students need to act with some pace.
Check if you qualify for the scholarship program and also whether it suits your career path or not, then submit your completed application within the funding period. The program is linked to this admission intake period, once all the seats are filled, another application portal will open for the upcoming intake.

Suggested FAQs

Whom does the AI & ML scholarship program benefit?
Generally, those students having high scores in PCM (for UG Programs) or any related undergraduate degree (for PG Programs) are eligible. In case of performance in national/university level entrance exams, you are considered for higher waiver amount.

How much tuition fee will be covered by the scholarship?  
It covers a huge percentage of the total course fee. Exact percentage is based on your academic performance and entrance exam. Renewal will be based on maintaining required CGPA on a semester basis.

When do I have to submit my application for the AI & ML scholarship?  
The deadline is based on the current admission intake cycle. Visit Manav Rachna's official admissions portal to check the active closing date, it's updated as the batch fills.

 

The views expressed in this article are of Manav Rachna and do not reflect/represent those of Shiksha.