What is the CAT score for MBA in NIT Calicut?
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2 Answers
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Applicants at NIT Calicut who have a CAT percentile above 70 would have a good probability of being admitted to the MBA program.Students who score 101 or higher on the 198-mark CAT exam are awarded a 99.5+ percentile. A student's CAT exam score must be at least 92 to 5 percentiles in order to be admitted to NIT Calicut's MBA program. In order to be considered, candidates must hold a bachelor's degree in any field from an accredited university or institution, with a minimum cumulative GPA of 6.0/10 (or 60% for GEN/GEN-EWS/OBC and 5.5/10 for SC/ST/PwD).
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Candidates with a CAT percentile above 70 shall have a fair chance of getting a seat in an MBA at NIT Calicut. However, this is an expected percentile and hence may vary. The CAT cutoff varies every year as it depends upon various factors such as the number of applicants, applicants’ CAT scores, etc.
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Amrita Vishwa Vidyapeetham CAT Cutoff 2025 is yet to be released as the exam will be conducted on 30 Nov, 2025. However, according to the CAT Cutoff 2024, students need to secure at least 40 percentile for successful admission at Amrita Vishwa Vidyapeetham. If students have appeared for the XAT exam, then a 70 percentile would be needed for MBA admission.
The Sri Balaji University CAT Cutoff 2025 is not out yet. However, according to the CAT Cutoff 2024, the minimum percentile required for admission to MBA courses at Sri Balaji University is 50 for the General AI category students. For more information, click here.
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Fore School of Management Cutoff 2025 has been released for admission to PGDM course on the basis of CAT and XAT Cutoff 2025. For the General AI category, the overall CAT Cutoff 2025 was 85, same as the XAT Cutoff 2025. For more details about cutoffs for the General AI quota, see the table below:
| CAT Cutoff 2025 | XAT Cutoff 2025 | Course/ Specialisation Name |
|---|---|---|
| 85 | 85 | PGDM |
| 75 | 75 | PGDM in International Business |
| 75 | 75 | PGDM in Financial Management |
| 65 | 65 | PGDM in Big Data Analysis |
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