Can I get B.Tech at GNIT IPU with 75 percentile in JEE?
Cutt off will change each year before taking admission visit their official website. Cutoff generally high because it is one of top college of India,
The 2023 IPU CET cutoff for JEE Main is 90 percentile or higher for the General Category and 75 percentile or higher for the EWS Categ
The 2023 IPU CET cutoff for JEE Main is 90 percentile or higher for the General Category and 75 percentile or higher for the EWS Category.
The Greater Noida Institute of Technology (GNIT) IPU selects students based on their score in JEE Main (Paper 1).
Here are some 2022 cutoffs for GNIT:
MHT CET: 53
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documents required for admission in BTech at Greater Noida Institute of Technology IPU are as follows:
- I-Card Form
- JEE Admit Card
- JEE Score Card
- Class 10 Marksheet
- Class 12 Marksheet
- Aadhar Card Copy
- Preference Sheet
- College Fee Slip
- IPU Admission Form
- IPU Allotment Letter
- Passport Size Photographs (8)
- Medical
Greater Noida Institute of Technology, IPU accepts JEE Main scores for admission to BTech programme. Candidates applying for BTech (lateral entry) need to pass IPU CET for admission. The requirement of JEE Main depends on the course applied by the aspirant.
Greater Noida Institute of Technology, IPU offers admission to candidates based on their entrance exam scores. Aspirants applying for BTech need to pass JEE Main. Admission to BTech (lateral entry) course is based on IPU CET scores of the candidates. Aspirants must contact the institute for admissio
Greater Noida Institute of Technology, IPU does not specifies age limit to apply for a course. However, candidates do need to meet the eligibility criteria. Candidates must pass Class 12 of CBSE or equivalent with at least 55% aggregate in Physics, Chemistry and Mathematics provided the ca
Greater Noida Institute of Technology, IPU offers BTech for four-years at the UG level in full-time mode. Admission to BTech programme is based on JEE Main scores of the candidates. The institute offers BTech in below specialisations:
- Artificial Intelligence & Machine Learning
- Computer Science & Engin
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