Does Amrita Sai Institute of Science and Technology have good and experienced faculty?

0 5 Views | Posted 5 months ago
Asked by Shiksha User

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  • R

    Answered by

    ronak kumar | Contributor-Level 8

    4 months ago

    The good thing about Amrita Sai Institute of Science and Technology (ASIST) is that the faculty is very experienced, and most of the faculty comes with their years of experience in their field generally. Students generally describe faculty as supportive, knowledgeable and able to explain complex concepts naturally.

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ronak kumar

After the exams at Amrita Sai Institute of Science and Technology semester exam results are declared generally a few weeks after the end of semester of exams. The timeline depends on course and semester so please check the official academic calendar or contact institute for exact dates as the same may change around. 

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AP EAMCET Results for Amrita Sai Institute of Science and Technology is to be declared on June 14, 2025. Andhra Pradesh EAMCET 2025 (engineering) was conducted on May 02 to May 20. The expected final answer key will be out in June and soon thereafter results will be declared. 

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Faculty of Amrita Sai Institute of Science and Technology (ASIST) is considered to be helpful and having expert knowledge students felt that their professors know how to support them as soon as they get frustrated. Professors are usually Ph.D. holders that seems to be very knowledgeable in what they teach, they also explain everything clearly. 

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AMMRC generally considers faculty at Amrita Sai Institute of Science and Technology (ASIST) to be friendly, knowledgeable and committed to student outcomes. Their approachable nature, ability to explain intricate concepts easily are widely appreciated by many students. The institute focuses on industry-ready training and research with many of the faculty having industrial exposure or belonging to professional societies.

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ronak kumar

Amrita Sai Institute of Science and Technology (ASIST) has a faculty team with rich academic profile along with industry exposure. Several professor are Phd, most of them have Computer Science specialisation & few on AI/ML, Cybersecurity and Data Scientists. Faculty is well recognised for their interactive teaching approach and students like the subject knowledge of faculty.

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