NIT Sikkim - National Institute of Technology Sikkim - Other Answered Questions

The OBC category's NIT Sikkim CCMT cutoff 2025 range fell between 328 to 377 for various M.Tech specialisations as per the last round cutoff scores. The most difficult course to get admitted to was M.Tech in Artificial Intelligence and Machine Learning, with a cutoff score of 377, and the easiest for the OBC AI category candidates was M.Tech in VLSI & Embedded Systems. For a more detailed M.Tech Cutoff 2025, refer to the table below. Course First Round CCMT Cutoff 2025Last Round CCMT Cutoff 2025M.Tech in Electrical Engineering (Power Electronics and Drives)338338M.Tech in Artificial Intelligence and Machine Learning460377M.Tech in VLSI & Embedded Systems398328M.Tech in Communication and Signal Processing373327M.Tech7 in Electrical Engineering (Power and Energy Systems) 332332 

NIT Sikkim cut off for M.Tech was released as scores for different categories belonging to the AI and HS quotas. NIT Sikkim GATE cutoff 2025 ranged between 360 and 432, wherein M.Tech in Communication and Signal Processing emerged as the most sought-after specialisation for admission in the General AI category.

The opening and closing ranks for NIT Sikkim BTech 2025 vary according to categories, rounds, gender and specialisations. For the SC AI category BTech CSE 2025 opening rank was 3898, and the closing rank was 4088,  according to JoSSA counselling 6th round.  According to JoSSA last round for the All India category, the closing and opening ranks for this course were 5728 for female SC candidates. B.Tech. in Computer Science and Engineering is the most sought-after course specialisation among candidates, admission for which is based on the JEE Main 2025 ranks, followed by the JoSSA counselling process and, if required by the CSAB counselling process for allocation of any vacant seats after JoSSA is over.

To avail admission to NIT Sikkim 2025, you would need to attain a score ranging between 360 to 432 if you belong to the General AI category. The M.Tech 2025 course specialisation, which was the most competitive for this category, was M.Tech in Communication and Signal Processing, with a cutoff of 432 in round 3, which was the last round for this specialisation. Therefore, a score above 360 would be needed for this year to get into NIT Sikkim. Other categories will have a different qualifying score depending on the specialisation, round and category. The OBC AI quota candidates would need to attain a score between 327 and 377, wherein the most competitive specialisation for this category was M.Tech in Artificial Intelligence and Machine Learning. So to avail admission, students would need to strive to attain a score well above 327 if they belong to the OBC AI category, to avail admission to NIT Sikkim. 

NIT Sikkim JEE Main cutoff 2025 has been released for various BTech course branches. The cutoff ranged from 21087 to 84897 for students belonging to the General AI category. Among all, the most competitive branches were B.Tech. in Computer Science and Engineering, followed by B.Tech. in Artificial Intelligence and Machine Learning, with the last round cutoff ranks of 31754 and 42422, respectively. Therefore, students aiming for admission to this course should aim to secure a rank of 84897, or preferably below, to increase their chances for admission at NIT Sikkim 2025. Please note, the mentioned ranks are for General category, All India quota, other categories will have different cutoff ranks. 

 NIT Sikkim CCMN 2025 cutoff has been released for all rounds and categories for admission to M.Sc. in Chemistry. 1800 to 1710 was the cutoff rank range for the General category, All India quota as per the first and the last round data. For the OBC AI category candidates, admissions were closed at a rank of 2348, and for the SC AI category, 5538. The ST AI category, the last round cutoff was 5945. Please note that this is the last round cutoff, different rounds will have different cutoffs accordingly. Please refer to the table below to know the first and the last round CCMN cutoff 2925. Category Last Round CCMN cutoff 2025First Round CCMN cutoff 2025General 18001710OBC23481944SC55385128ST59455768

NIT Sikkim CCMT cutoff score has been released for various M.Tech Specialisations. Your rank of 300 should get you admitted to NIT Sikkim if you belong to the OBC AI category for which the CCMT cutoff score varied between 332 to 377. However if you belong to the General AI Category, your chances for admission are low. For other categories cutoff range, refer to the table below. Please note that different categories, rounds and specialisations  have different cutoff score.CategoryClosing CCMT Cutoff Range 2025General362 - 432OBC332- 377SC268 - 337ST259 - 260

The GATE 2025 cutoff has been out for admission to various M.Tech programs. With a score of 642, your chances of admission are extremely favourable, as the cutoff ranged from 360 to 432 for the General AI category candidates, with various branches closing their admissions in the early rounds. For a more detailed look at which branch you are eligible for, refer to the table below. Course2025M.Tech in Electrical Engineering (Power Electronics and Drives)362 (R1)M.Tech in Artificial Intelligence and Machine Learning423 (R5)M.Tech in VLSI & Embedded Systems360 (R4)M.Tech in Communication and Signal Processing432 (R3)Note: This is the cutoff only for the General AI category, other categories and rounds have diffferent cutoffs.

NIT Sikkim CCMT Cutoff 2025 is out for various categories and rounds for admission to various M.Tech Specialisations. M.Tech in Communication and Signal Processing was the most competitive, with the cutoff score being 432, while on the other hand, M.Tech in VLSI & Embedded Systems was the easiest for students belonging to the General AI category, with the cutoff score being 360. Refer to the table below for the General AI category M.Tech cutoff 2025. Other categories and rounds will have different cutoffs accordinglyCourse2025M.Tech6 in Electrical Engineering (Power Electronics and Drives)362M.Tech in Artificial Intelligence and Machine Learning423M.Tech in VLSI & Embedded Systems360M.Tech in Communication and Signal Processing432