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Admission available at IIT Delhi without a JEE score; new courses in Quantum Computing and Machine Learning launched..
Shikha Saxena | August 29, 2026 1:15 PM CST

If you wish to study at the Indian Institute of Technology (IIT), here is a golden opportunity. IIT Delhi has launched a new course on Quantum Computing and Machine Learning. A key feature of this course is that it is conducted entirely online. Furthermore, IIT Delhi is offering admission to this course without requiring a Joint Entrance Examination (JEE) score. It is an excellent option for candidates interested in pursuing advanced technology courses.

Let us explore the details of IIT Delhi's Quantum Computing and Machine Learning course, including eligibility criteria and the application deadline.

What is the Quantum Computing and Machine Learning course?
The Quantum Computing and Machine Learning course launched by IIT Delhi is a six-month certification program. It will be conducted in online mode under the eVIDYA category.

The course is designed to provide foundational knowledge of quantum computing and machine learning technologies. Upon completion, candidates will be equipped to handle data processing, model training, and complex problem-solving. Additionally, they can work as experts in fields such as finance, healthcare, cybersecurity, and cryptography.

Who can enroll?
Candidates holding a B.Tech/B.E., BCA/MCA, or B.Sc. degree in any stream are eligible to apply. Candidates with a B.A./M.A. degree who have studied Mathematics are also eligible to apply for this course.

When will classes be held?
Enrolled candidates will have the facility to study online. Online classes for the course will be conducted every Saturday and Sunday from 8:30 AM to 11:30 AM.

Apply by January 8, 2027
The application process for IIT Delhi's new Quantum Computing and Machine Learning course has commenced. The deadline for applications is set for January 9, 2027. Applications can be submitted online. Interested candidates can apply via https://ceppay.iitd.ac.in/program.

Disclaimer: This content has been sourced and edited from TV9. While we have made modifications for clarity and presentation, the original content belongs to its respective authors and website. We do not claim ownership of the content.


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