Does Jyothy Institute of Technology - JIT provide good placement facilities?
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1 Answer
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Jyothy Institute of Technology - JIT has been rated 3.7 on placements on the basis of 45 reviews done by students.
In Jyothy Institute of Technology - JIT, 262 students were admitted in year 2015-16, out of which 190 graduated in 2018-19. From this, 52 qualified students got placed with a median salary of INR 180000 and 23 students got selected for higher studies. In year 2016-17, 294 students were admitted, out of which 234 graduated in 2019-20. From this, 115 qualified students got placed with a median salary of INR 300000 and 26 students got selected for higher studies. In year 2017-18, 240 students were admitted, out of which 174 gr...more
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Jyothy Institute of Technology accepts COMEDK entrance exam scores for admission to the BE/ BTech courses. For 2024 admission, COMEDK cutoff has been announced, wherein B.E. in Artificial Intelligence and Machine Learning stands out as the most in-demand course with a the lowest round 3 closing rank of 43320 for the General AI quota. Candidates can refer to the table below to check out the COMEDK cutoff 2024 for Jyothy Institute of Technology for the General AI category students. The cutoff data available below is for Round 3.
| Course | 2024 |
|---|---|
| B.E. in Computer Science and Engineering | 55243 |
| B.E. in Artificial Intelligence and Machine Learning | 43320 |
Jyothy Institute of Technology accepts COMEDK scores for admission to the BE/BTech courses. As per the Round 2 of the COMEDK cutoff 2024, the ranks ranged between 82308 and 99899 wherein Computer Science and Engineering was the most competitive specialisation. So yes, candidates with a cutoff rank up to 10001 can get admission at JIT.
To know what all BE/ BTech courses are available up to 10001 rank at Jyothy Institute of Technology, refer to the table below:
| Course | 2024 |
|---|---|
| B.E. in Computer Science and Engineering | 99899 |
| B.E. in Information Science and Engineering | 93842 |
| B.E. in Artificial Intelligence and Machine Learning | 82308 |
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