How can I get admission for BTech in Agni College of Technology?
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1 Answer
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In order to get admission to BTech course at Agni College of Technology, candidates must pass the minimum eligibility criteria in the first place. Candidates who passed Class 12 with minimum 50% aggregate in Mathematics, Physics and Chemistry as main subjects are eligible to apply for this course. Agni College of Technology BTech admissions are entirely based on merit scores obtained in Class 12 and TNEA counselling. Aspirants must apply for TNEA counselling. Find here the detailed step for TNEA application process 2023.
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The fees range for courses offerred by the Agni College of Technology is around INR 50000 - INR 200000.
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According to Shiksha verified reviews, for the faculty Agni College of Technology have rating of 4.15. It represents that Institute has good, qualified and experienced faculty members.
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As per Shiksha verified reviews, Agni College of Technology has an impressive review rating of 3.84 by 160 students.
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Agni College of Technology is a good institution for B.E. / B.Tech, M.E./M.Tech courses, and these programs are delivered by highly experienced faculty. Major specialisation at Agni College of Technology are Mechatronics Engineering, Mechanical Engineering, Chemical Engineering, Electronics & Communication Engineering, Electrical Engineering, Computer Science Engineering, Civil Engineering, Biomedical Engineering, Aerospace Engineering, Communications Engineering, Structural Engineering, Artificial Intelligence & Machine Learning, Information Technology.
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Atul Mishra
Agni College of Technology provides programmes including B.E. / B.Tech, M.E./M.Tech in streams such as Engineering, and are excellent for students to build their careers. The institute has specializations in Mechatronics Engineering, Mechanical Engineering, Chemical Engineering, Electronics & Communication Engineering, Electrical Engineering, Computer Science Engineering, Civil Engineering, Biomedical Engineering, Aerospace Engineering, Communications Engineering, Structural Engineering, Artificial Intelligence & Machine Learning, Information Technology.
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