Is it worth pursuing MBA/PGDM at MNIT Jaipur?
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1 Answer
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{Source: MBA/PGDM students & alumni}
Based on the reviews and feedback from students and alumni, here's what we've gathered:
Placement Scenario
* The placement record for the recent batch (2023) is lower due to fewer company visits, mostly startups preferring B.Tech and M.Tech students.
* Average package offered is 6 LPA, with the highest being 10 LPA.
Course Curriculum and Faculty
* Course curriculum is relevant to the current market scenario.
* Faculty members are highly qualified, knowledgeable, and experienced.
* Focus is on theoretical learning, with some students suggesting a more practical approach.
Infrastructure and Facilities
* World-...more
Similar Questions for you
MNIT Jaipur GATE cutoff 2025 has been released for admission to various MTech/MPlan specialisations. The last round cutoff among the General AI category candidates varied between 350 and 639. The most competitive M.Tech specialisation among the General AI category candidates was M.Tech. in Computer Engineering.
For the OBC AI category candidates, the cutoff range varied between 298 and 582. Among the OBC AI category candidates also, the toughest specialisation turned out to be M.Tech in Computer Engineering.
Given below are the branch-wise cutoff scores for the General AI category candidates:
NIT Jaipur accepts JEE Main scores for admission to the BTech course specialisations and the BArch course. The cutoff is released category-wise for candidates belonging to the All India as well as the Home State quota. For candidates belonging to the General HS category, the cutoff ranks to get admission ranged between 1638 and 38526.
For the General AI category students, the cutoff ranks ranged between 996 and 38458. To check more branch-wise, category-wise and round-wise NIT Jaipur cutoff 2025, check this page.
NIT Jaipur offers admission to MSc specialisations on the basis of IIT JAM exam results, followed by CCMN counselling. NIT Jaipur CCMN cutoff has been released for round 5. The cutoff was released category-wise for the All India category candidates. Among the General AI category, the closing ranks varied between 954 and 1195. The most competitive specialisation among the General AI category candidates turned out to be M.Sc. in Applied Mathematics.
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