JNTUA Reviews on Placements, Faculty and Facilities

From the third year, students are eligible for campus placements and they will provide special training to attend the placements apart from the academics. Once you are selected in a company, you can't go for another company interview. Most of the students get placed in the college.

Students are edible for campus placements from the third year. You have to register in the placements program so you can call up on the interviews. Around 70% of the students are placed. The average annual package is 3.5 lakh.

I am interested to choose the EEE course. The faculty was good and also we have so many faculties like the ratio to the students is 30:20. The qualification of the faculty is phd, and also mtech, and the teaching is good. The exams are a little bit difficult and we have sem exams every 6 months

We are allowed for placements in the 3rd year. So many companies will visit the college like wipro, Infosys, tata, Mahindra, amazon....etc. average package is about 5 LPA .almost 80 per cent of the students got placed every year.

Because of the ECE, we can go with both software and Hardware. Some faculty is like friends. Many staff members are associate professors by doing some experience in college. Passing the exams is very easy but to score more than 8 CGPA want to work hard.

6th-semester students are eligible for placements, lots of companies visit according to their requirements and good packages provided and a maximum number of students got placed in different sectors and some are planning for abroad.

The course curriculum has to be updated. There is also a shortage of lab equipment. The student-to-faculty ratio is 1:72. Most of the faculty are M.Tech graduates. Some are pursuing a Ph.D. The exams are moderate.

From 4-1 sem the students eligible for campus placements. The companies visited our college are Accenture, cognizant and so many the no.of students in 2023 batch are around 70 % students. The highest package is around 30 lpa and average package is around 4lpa.

From my background in computer, I want to do further learning in the same stream. I like to proceed towards Machine learning and deep learning in the advanced era of AI which is the main reason to choose this course. The faculty in my college into my course has good knowledge to provide valuable insides as per the student's requirements. The faculty-to-student ratio is as per my knowlege - 15:132 i.e., 1 faculty per:8.8 students. Some of my faculty are professors and graduates from different universities. They have all the knowledge for us to teach the technical stuff. The term exams are usually 2 times a year. I would say 7 out of 10 as difficulty level.

I'm going to pursue a Master of Technology (M.Tech) in the United States of America at Michigan University. As I'm interested in foreign higher studies that's why I have taken the decision to make this possible.