B.Tech Electronics & Communication Engineering Colleges in Shahid Bhagat Singh Nagar

The Chandigarh University admission process consists mainly of three steps. Find below the detailed  Chandigarh University Application Process:

1. Chandigarh University Application Process: Apply online on the official website of Chandigarh University. Candidates must also pay an application fee of INR 1,000 before submitting the application form.
2. Chandigarh University Selection Criteria via CUCET: The registered candidates are required to appear for the CUCET entrance exam on their chosen date. Chandigarh University admissions are entirely entrance-based for all courses. Candidates must qualify for CUCET to get admission. The final result will be released by the university after the commencement of the selection rounds.
3. Chandigarh University Final Seat Allotment: Candidates whose names appeared on the result list will be required to pay the admission fee to confirm their seats within a stipulated deadline.

CGC University is well known for its BTech placements. It offers good placements every year for BTech course, especially the CSE branch. As per the latest report, the highest package offered to BTech CSE student of the batch 2025 stood at INR 1 Crore per annum, which is mentioned below:

Particulars	Placement Statistics (2025)
Highest package offered	INR 1 Crore per annum

The total fee for BTech range from INR 4.5 lakh - INR 36 lakh. Admission to BTech course is based on LPUNEST or CUET UG scores. After completion of the selection rounds, shortlisted aspirants need to pay the course fee to confirm their admission. Candidates need to first register with an application fee (INR 1,000 for males) and (INR 500 for females) for LPUNEST. 

Khalsa College of Engineering and Technology offers Degree courses including 5 UG course. These programs are offerred in Full Time mode. Khalsa College of Engineering and Technology has specializations such as B.Tech specializations in Computer Science Engineering, Civil Engineering, Mechanical Engineering, Electronics & Communication Engineering, Artificial Intelligence & Machine Learning.