NIT Surathkal - National Institute of Technology Mangalore Answered Questions

According to available data and student reviews, DTU (Delhi Technological University) has a higher percentage of students with a CGPA above 9 compared to NIT Surathkal. DTU has a reputation for providing a rigorous and challenging academic programme, with a strong focus on research and innovation. The institutes curriculum is designed to provide students with a comprehensive understanding of their field of study, and students are encouraged to take up research projects and internships to gain practical experience. As per the latest available data, around 10-12% of DTU students have a CGPA of 9 or above, which is a remarkable achievement given the institutes challenging academic programme. Additionally, DTU has a strong placement record, with many top-tier companies such as Microsoft, Amazon, and Google among its recruiters. On the other hand, while NIT Surathkal also has a strong academic programme, the percentage of students with a CGPA above 9 is comparatively lower. As per available data, around 6-8% of students at NIT Surathkal have a CGPA of 9 or above.

You can check the official website of JoSAA (Joint Seat Allocation Authority) to see the list of participating institutes and the courses offered by them. If NIT Surathkal is a participating institute and offers B.Tech in Artificial Intelligence, it should be included in the JoSAA choice filling process.

The Computer Science and Engineering branch is the most popular branch of Engineering at NIT Surathkal. The CSE branch at NIT Surathkal has a great placement record, making it a preferred choice for students. It offers better placement opportunities than most other branches, with an average package of INR 23 LPA in 2022. The fee structure for B.Tech courses at NIT Surathkal is around INR 2.25 Lacs for four years, including tuition fees, hostel fees, and other charges. Additionally, the CSE branch offers various opportunities for research and innovation as well. It offers a comprehensive curriculum that covers various aspects of Computer Science and Engineering, including programming, algorithms, data structures, computer architecture, software engineering, artificial intelligence, machine learning, and computer networks.