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CUET UG Admit Card 2026 Released for June 6 & 7 Exam: Direct Download Link Here

CUET UG Admit Card 2026 Released for June 6 & 7 Exam: Direct Download Link Here

Revised admit cards have been released for candidates whose exam schedule is revised in CUET (UG) 2026. Those who have received notice regarding their revised exam dates can now access their revised admit cards through the official website.

According to the latest update, candidates whose exam dates have been rescheduled will sit for their exam on June 6 and June 7, 2026.

👉 Direct Link: CUET UG Admit Card 2026

👉 Read Official Notice

Candidates must read the updated admit card carefully to get familiar with important exam day instructions such as exam center address, reporting time, and others. In addition, you need to frequently check the official website i.e., cuet.nta.ac.in.

An important update in regard to those candidates whose exams couldn't be conducted due to technical issues in CUET on May 30, 2026, is that such candidates will be allowed to retake the exam.

How to Download CUET UG Admit Card 2026

Follow the easy steps mentioned below to download your admit card:

  • Go to the official CUET UG website – cuet.nta.nic.in
  • Click on the 'CUET UG Admit Card 2026' option.
  • Log in using your credentials.
  • Click on the 'Submit' tab.
  • Admit card will show up on the screen.
  • Download and take a printout.

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If Facing Any Problem in Downloading Admit Card

In case you encounter any problem in downloading your admit card, or there are any errors in your admit card, you may contact the NTA help desk.

  • Phone No: 011-40759000
  • Email: cuet-ug@nta.ac.in

It is pertinent to mention here that CUET UG was scheduled on May 30, 2026; however, it was postponed due to technical glitches at the initial stage. During this period, about 3,765 candidates were unable to wait and left the exam center without giving their exam.

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CUET UG Study Material 2026

CUET UG Study Material 2026
CUET Study Material 2026 Quantitative Aptitude
Numerical Aptitude Data Interpretation Reasoning
Maths General Knowledge
Biology Physics
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