M.E. in Computer Science Engineering 

at Hindusthan Institute of Technology, Coimbatore

Hindusthan Institute of Technology offers in-campus placement salaries in the range of INR 4.5 LPA to M.E./M.Tech students.

Yes, admissions are currently ongoing on the official website of Hindusthan Institute of Technology. Students can apply directly on the college's online admission portal for UG/ PG courses. They must also submit relevant documents and an application fee to successfully submit their application.

The seats availability for offered courses at Hindusthan Institute of Technology goes up to 948. Courses offerred by Hindusthan Institute of Technology are approved by eminent Government bodies such as AICTE.

You have to apply on the official TNEA website - tneaonline.org. Admission to the engineering colleges in the state of Tamil Nadu offer admission based on the results of class 12. The candidates will be selected based on their performance in the prescribed subjects, which will be scaled down to a total of 200 marks (Mathematics: 100, Physics: 50, Chemistry: 50) in the qualifying examination. The marks provided by the candidates through the TNEA 2025 application form will undergo normalization, and a merit list will be published based on the normalized scores.

During the 2023 placements, 62.80% of the students were placed. Looking at the past three years records, a fluctuating trend was recorded in the Hindusthan Institute of Technology placement rate, which is presented below:

Particulars	Placement Statistics (2021)	Placement Statistics (2022)	Placement Statistics (2023)
Placement rate	62.08%	64.66%	62.80%

Hindusthan Institute of Technology provides programmes including B.E. / B.Tech, MCA, M.E./M.Tech, MBA/PGDM in streams such as Engineering, IT & Software, Business & Management Studies, and are excellent for students to build their careers. The institute has specializations in Computer Science Engineering, Automobile Engineering, Pharmaceutical engineering, VLSI Design, Aeronautical Engineering, Artificial Intelligence & Machine Learning, Electronics & Communication Engineering, Information Technology, Mechanical Engineering.

The following table depicts the Hindusthan Institute of Technology placement trends from 2021 to 2023:

Particulars	Placement Statistics (2021)	Placement Statistics (2022)	Placement Statistics (2023)
the highest package	INR 8.50 LPA	INR 7 LPA	INR 7.61 LPA
Average package	INR 2.75 LPA	INR 2.98 LPA	INR 3.27 LPA
Placement rate	62.08%	64.66%	62.80%
Students enrolled	414	249	457
Students placed	257	161	287
Companies visited	60	127	97

The highest package for the academic year 2022-23 stood at INR 7.61 LPA. Earlier, the highest package offered to the 2022 batch was INR 7 LPA. Take a look at the table below depicting the Hindusthan Institute of Technology the highest package trends for the past three years:

Particulars	Placement Statistics (2021)	Placement Statistics (2022)	Placement Statistics (2023)
the highest package	INR 8.50 LPA	INR 7 LPA	INR 7.61 LPA

The seat intake for BTech at HIT is 780. To get a seat at the BTech degree applicants must appear for the TNEA councelling to be considered. To apply, students must visit the official website of Hindusthan Intsitute of Technology and apply online. Check out the total seat intake for the BTech Course at Hindusthan Intsitute of Technology: 

Courses	Seats
B.E. in Computer Science and Engineering	180
B.Tech. in Artificial Intelligence and Data Science	120
B.Tech. in Information Technology	120
B.E. in Electronics and Communication Engineering	120
B.E. in Mechanical Engineering	60
B.E. in Automobile Engineering	60
B.Tech. in Pharmaceutical Technology	60
B.E. in Aeronautical Engineering	60

Hindusthan Institute of Technology is a good institution for B.E. / B.Tech, MCA, M.E./M.Tech, MBA/PGDM courses, and these programs are delivered by highly experienced faculty. Major specialisation at Hindusthan Institute of Technology are Computer Science Engineering, Automobile Engineering, Pharmaceutical engineering, VLSI Design, Aeronautical Engineering, Artificial Intelligence & Machine Learning, Electronics & Communication Engineering, Information Technology, Mechanical Engineering.