NIT Surathkal - National Institute of Technology

According to the previous year's seat allotment through CSAB's special round, you have some chance to get NIT, Surathkal. However, there are certain conditions:
1. In CSAB special round 1, you have fewer chances of getting into the National Institute of Technology, Surathkal.
2. To get a seat in round one with a 37,000 rank, you would need to have the home state quota of Karnataka.
3. You may get into branches such as mining engineering.
4. You have a better chance in round two of allocation.
5. In round two, you may get the Metallurgical and Materials Engineering branch at NITK, Surathkal. This estimate is based on the previous year's seat allotments of CSAB for NITK, which may slightly differ this year as per vacant seats.

NIT Trichy, NIT Surathkal, and NIT Warangal are the top three NITs. The B.Tech Computer Science and Engineering (CSE) branch at these colleges is extremely popular.
1. NIT, Surathkal has better placement opportunities than most, with a near-perfect placement rate in the CSE branch. The highest salary package offered was Rs. 55 LPA in the previous batch.
2. NIT Warangal CSE branch placement is more than 90%, with the highest package being Rs. 43 LPA.
3. On the other hand, the placement rate at NIT, Trichy is close to 90%, but the highest salary package is more than 55 LPA.
4. Also, alumni have rated NIT Surathkal CSE branch better than NIT Warangal. Therefore, in terms of salary package, the NIT Trichy is the best, which is also the top NIT in the NIRF ranking. In terms of future prospects, the placement opportunities at NIT Surathkal are better for CSE.

Hi dear, We all know that the world is leaning towards automation, artificial intelligence and machine learning etc. For every new innovation and invention, the only group of people who are in favour are "The Inventors" who contributes 2.5% of the total population. Then comes the "Early Adaptors" who SEE the future of that innovation and adapted it. They contribute only 13.5% of the total population. After early adaptors there is a gap called "The Chasm". Every idea has to cross this bridge to grow into a leading business. Then comes "Early Majority", "Late Majority" and lastly"The Laggards" (who were initially against) who contribute 34%, 34% and 16% respectively. To answer your question, I just want to let you know that Data Science, Computational Science, Artificial Intelligence, Deep learning etc. Are in the phase of Early Majority as they have spent a long period in establishment. So, without any doubt it is very clear that this field has immense potential in the future. The only drawback which one can SEE is that it require only skillful candidates which is intact a positive thing for nation building and GDP growth. Hope I answered your question.