How successful is the placement cell in securing jobs for BCA students at Reva University?
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1 Answer
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{Source: BCA students & alumni}
Placement Cell's Success Rate
Based on the feedback from students and alumni, here are the key findings regarding the success rate of the Placement Cell at Reva University:
* Around 98% of students got placed in different companies, according to one student.
* Top recruiting companies include Amazon, IBM, TCS, and others, with offers ranging from INR4 LPA to INR14 LPA (average salary package).
* Students received internships in companies like Wipro, Dell, Amazon, and others.
* Roles offered include tester, backend developer, frontend developer, full stack developer, and others, depending on the field of study...more
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The REVA University Karnataka PGCET Cutoff 2025 was released for admission to the MBA, MCA, M.Tech programmes. According to the REVA University MBA Cutoff 2025 for the General AI category, the last round cutoff was 4259.In 2024, the cutoff was 1853, and in 2023, it was 2480. So, it can be said that the cutoff trend has seen fluctuation over the years.
The REVA University Karnataka PGCET Cutoff 2025 was released for admission to the MBA programme. The cutoff ranged from 1941 to 4259 in the first and last round closing rank for the General category under the All India quota for admission to REVA University Bengaluru MBA programme. The Cutoff was released in the form of opening and closing ranks for admission to MArch, M.Tech and MCA programmes.
Yes, if you belong to the General category under the All India quota, then a rank of 40000 can get u admission to various courses at REVA University in the last round, as the closing ranks were in the ranges of 44001 to 100240 for this category. Please keep in mind that these cutoff ranges are of the last round General category, other rounds, categories will have different cutoffs accordingly.
The REVA University COMEDK UGET Cutoff 2025 is out for admission to the BE/BTech programmes for all categories and rounds under the All India and Home State quota. For the General AI category, the closing cutoff ranged from 100240 to 44001 in the last round, wherein B.Tech. in Electronics and Communication Engineering was the easiest course for admission and B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning), the hardest.
Students should keep in mind that the cutoff will vary for each category, quota and round.
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