Best Engineering Colleges in Surajpur - 2026 Admission, Fees, Placements

Indian Institute of Technology Bhilai has released placement statistics for 2024-25. The overall average CTC offered to BTech students stood at INR 15.1 LPA. Check below IIT Bhilai packages 2024-2025:

Guru Ghasidas Vishwavidyalaya conduct placement drive annually to its BTech students. There are no official stats availabe. The UG 4-year placements according to the NIRF Report 2026 are given below:

Particulars	Placement Statistics (2023)	Placement Statistics (2024)	Placement Statistics (2025)
Total Students	536 (UG 4-year)	572 (UG 4-year)	559 (UG 4-year)
Students Placed	295 (UG 4-year)	372 (UG 4-year)	328 (UG 4-year)
Median Package	INR 1.44 LPA (UG 4-year)	INR 4.50 LPA (UG 4-year)	INR 4 LPA (UG 4-year)

Admission to the four-year BTech course at Dr. Shyama Prasad Mukherjee International Institute of Information Technology, Naya Raipur is done through JoSAA counseling, which is conducted for candidates who qualify for the JEE Advanced exam. Candidates need to score a minimum of 50% marks in Class 12 in a relevant field from any recognized board and appear for the JEE exam to be eligible for the course.

No, candidates are not allowed to get admission into BTech courses a NIT Raipur without JEE Main scores. Only candidates from abroad are eligible for direct admission through DASA. However, for DASA admission, candidates are required to fulfil certain eligibility criteria. NIT Raipur BTech admission is completely entrance-based. It is based on candidates' performance in the JEE Main entrance test, followed by the Joint Seat Allocation Authority (JoSAA) counselling.  

Aspirants do not have to pass entrance exam for most of the courses. Amity Raipur conducts AMCAT for admission in BTech and MBA programmes. The university conducts an entrance test for PhD course. Amity Raipur also accepts scores in JEE Main for BTech, NATA for BArch and CAT, MAT, XAT, etc. for MBA.

CV Raman University is reputed for providing excellent placement opportunities for its B.Tech graduates. The university's commitment to fostering industry connections and preparing students for the professional world contributes significantly to the success of its placement programs.

One of the key factors enhancing B.Tech placements at CV Raman University is its proactive approach in aligning the curriculum with industry requirements. By offering practical, industry-relevant courses and incorporating hands-on experiences, the university equips students with the skills and knowledge sought after by employers.

The university's dedicated placement cell plays a pivotal role in facilitating interactions between students and prospective employers. Through campus recruitment drives, industry seminars, and workshops, CV Raman University ensures that students have ample opportunities to engage with leading companies.

The success of B.Tech placements is often reflected in the impressive track record of alumni securing positions in reputed organizations. Testimonials from past graduates and the university's placement reports can provide insights into the caliber of placements achieved.

It is advisable for prospective students to research specific placement statistics, explore the types of companies that visit the campus, and understand the support services provided by the university's placement cell. This information will offer a more comprehensive understanding of the B.Tech placements at CV Raman University and assist students in making informed decisions about their educational and career paths.

Courses offered by Chouksey Engineering College are MBA/PGDM, M.E./M.Tech, B.Tech. These courses are in the stream of Business & Management Studies, Engineering. Chouksey Engineering College offers specializations such as M.E./M.Tech specializations in Electronics Engineering, Production Engineering, Computer Science Engineering, B.Tech specializations in Telecommunication Engineering, Computer Science Engineering, Mechanical Engineering, Electrical Engineering, Civil Engineering, Artificial Intelligence & Machine Learning.