Greater Noida Institute of Technology Indraprastha University (also known as GNIT IPU) is one of the premier Engineering institutes of Uttar Pradesh established in 2000. GNIT IPU is affiliated to Guru Gobind Singh Indraprastha University (also known as GGSIPU) and is approved by All India Council
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Release of online application form according to the year 2023 was on MARCH 19, 2023 and last date for submission of application form was APRIL 30, 2023 and release of IPU CET Admit card on MAY 05,2023. The admission process is conducted in online mode only. Candidates must register themselves on
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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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