B.Tech. in Electrical And Computer Engineering 

at Rajiv Gandhi Institute of Technology, Kerala, Kottayam

Rajiv Gandhi Institute of Technology, Kerala is a well-known institution for B.E. / B.Tech, B.Arch, M.E./M.Tech, MCA courses. These programs are delivered by highly experienced faculty. As per Shiksha's verified reviews, Rajiv Gandhi Institute of Technology, Kerala has a rating of 4.34 on the basis of Shiksha-verified reviews by students. Not just this, it has also been rated 4.65 on Campus Life, 3.95 on Placements, 4.24 on Faculty and 4.24 on Infrastructure.

The overall seats available across all courses offered by Rajiv Gandhi Institute of Technology, Kerala is up to 652. Good thing to know is that Rajiv Gandhi Institute of Technology, Kerala has courses which are approved by prominent Government bodies like AICTE.

Rajiv Gandhi Institute of Technology, Kerala has been rated 4 on placements on the basis of 102 reviews done by students. In Rajiv Gandhi Institute of Technology, Kerala, 306 students were admitted in year 2015-16, out of which 241 graduated in 2018-19. From this, 137 qualified students got placed with a median salary of INR 300000 and 28 students got selected for higher studies. In year 2016-17, 304 students were admitted, out of which 244 graduated in 2019-20. From this, 123 qualified students got placed with a median salary of INR 312000 and 14 students got selected for higher studies. In year 2017-18, 296 students were admitted, out of which 243 graduated in 2020-21. From this, 217 qualified students got placed with a median salary of INR 350000 and 18 students got selected for higher studies.

Rajiv Gandhi Institute of Technology, Kerala is a good institution for B.E. / B.Tech, B.Arch, M.E./M.Tech, MCA courses, and these programs are delivered by highly experienced faculty. Major specialisation at Rajiv Gandhi Institute of Technology, Kerala are Civil Engineering, Computer Science Engineering, Electrical Engineering, Mechanical Engineering, Electronics & Communication Engineering, Artificial Intelligence & Machine Learning, Industrial Engineering, Construction Engineering, Transportation Engineering, Robotics Engineering.