Now Reading: Ladakh revises MBBS, BDS admission to single NEET merit list
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Ladakh revises MBBS, BDS admission to single NEET merit list
The Ladakh administration has replaced the existing category-wise roster with a single merit list based on NEET ranking for Central Pool MBBS and BDS seats from the 2026-27 academic session. The revised…
The Ladakh administration has replaced the existing category-wise roster with a single merit list based on NEET ranking for Central Pool MBBS and BDS seats from the 2026-27 academic session. The revised guidelines were approved by Lieutenant Governor V K Saxena following the formation of seven new districts in the Union Territory.
The earlier system, introduced in 2021, used separate categories including reserved and unreserved candidates, Leh and Kargil districts, and male and female candidates. These categories and the roster system have now been discontinued, and admission will be based strictly on NEET merit and candidate choices.
For 2026-27, the Centre has allotted seven MBBS seats (one each at institutions including Lady Hardinge Medical College, Delhi, and Maulana Azad Medical College, Delhi) and two BDS seats (one each at KG Dental College, Lucknow, and Government Dental College, Indore) to Ladakh under the Central Pool. Eligible candidates will have seven days to apply via the Ladakh NIC portal.
Indian Opinion Analysis
The shift to a single merit list removes district and gender quotas that had been in place since Ladakh became a Union Territory in 2019. This change follows the creation of seven new districts, which likely made the earlier two-district (Leh and Kargil) roster unworkable. The UT's total Central Pool allocation remains small, only nine seats, meaning the practical impact on admissions will depend on how NEET ranks are distributed among applicants. The Ladakh administration will need to publish the detailed application schedule and list of eligible candidates by the start of the 2026-27 admission cycle.
Source: timesnownews.com
This brief was synthesised by AI from the source linked above.
