MLR Institute of Technology - MLID Reviews on Placements, Faculty and Facilities

Campus placements are good, they provide crt classes in 3-1semister for placement guidelines. The average package is 4 lakhs per annum. Nearly 60 70 per cent of students are placed every year. Placements

CRT(campus recruitment training) begins in the fifth semester. The college will prepare us to deal with a variety of companies. The primary goal of crt is to improve technical and communication skills. 95% of the students are placed in their ideal companies with great packages. The average annual package is 6 lakhs per year. The highest package offered to date is 50lakhs. Students every drop of their hard work will get an answer with the help of our college. Many students are placed in multiple companies. As a result, they will not be an option for a company; rather, they will have several possibilities from which to choose.

Our college provides some of the best campus placements in Hyderabad. From 4th Year 1st Semester, the students are eligible for attending campus placements. Companies like Amazon, Capgemini, Virtusa, Cognisant, TCS and many more. The Highest package that is recently offered to our senior is Rs.50 Lakhs per Annum by Virtusa and the Average package that is offered is Rs.7 Lakhs per annum like Amazon, Infosys, etc. Every year 80% of students are getting placed. My plan after getting a degree is to either opt for higher studies or acquire a job in campus placements. The campus provides training programmes like SCOPE and CRT training to students and guides them in getting placements. College also helps students to do internships and understand the real-life market and corporate life.

From 3 rd yr students are eligible for campus placements. Last year 440+ members got placed in various MNC's like Amazon, wipro, TCS, Infosys, HCL, capgemini etc.. I highest package this year is 50L and average package is 4 lakhs. Minimum of 80 percent of the students got placed every year.

For the 3rd Year 2nd semester the placements will starts for every student in the college.They calculate the performance in these 3 years of students and they give us CAMPUS RECRUITMENT TRAINING. for data science course the average package is multiple of other courses. Every student in the college get placed in well settled companies.

From 3-1 students are eligible for campus placements.Many companies like accenture, cognizant, virtusa, HCL, capgemini, L&T,Amazon, Hetero and many more. Highest package this year is 50L and average is 7-8L . Almost all get placed.I want to pursue higher studies.

Based on their potentials, Students can avail the placements from 3rd year itself. Special CRT(Campus Recruitment Training) is provided by the Institute itself which ensures all of their students pass out with flying colours and get placed in companies with higer packages. The average package is approximately 5 lakh per annum, and almost all 90% of the students are placed and it's quite an achievement. The highest package until now is whopping 60 lakh per annum in a well reputed company.

The placement training starts from the 3rd year. And the campus recruitment training ( CRT ) helps the students in cracking the placements. The CRT training helps in developing the Logical thinking, Communication Skills, and Technical Knowledge required for the company. This CRT starts in the 5th semester and ends in the 6th semester. The placement starts from the 6th semester till the 8th semester. The average salary package is 6.5 L.

The highest package of this year was 50 lakhs per annum and there were almost 10 students who were place above 30 lakes and out of 900 members who joined the course 600 students got placed in best companies like vitro,Wal-Mart, virtusa,tcs and many more

In our college from our from 7th semester the placements get started and there will be many companies arriving to recruit us. So the companies will come on campus ans well as off campus also. Therfore it was a great experience. I will continue to do my job as well. The companies are Virtusa, Wipro, Capgemini, Accenture etc.