NIT Kurukshetra - National Institute of Technology Answered Questions

Yes, there are overhead expenses during B.Tech. in Computer Science and Engineering at NIT Kurukshetra, including:
- One-time fee: 10,500
- Hostel fee (per semester): 17,900
- Mess advance (per semester): 24,500
These are in addition to the tuition fee.

Yes, tuition fee waiver is available for B.Tech. in Sustainable Energy Technologies students at NIT Kurukshetra. Candidates from SC/ST/PWD categories are exempted from the tuition fee. Students from GE, OBC-NCL, EWS categories whose family income is less than Rs.1 lakh per annum will also receive the full exemption from the tuition fee. Candidates from GE, OBC-NCL, EWS categories whose family income is Rs.1 lakh to Rs.5 lakhs per annum will receive an exemption of 2/3rd of the tuition fee.

Admission to B.Tech. in Artificial Intelligence and Machine Learning at NIT Kurukshetra is based on the JEE Main score. The eligibility criteria include a minimum of 75% marks in class 12th with Physics, Chemistry, and Mathematics as compulsory subjects. The admission process involves registration on the Joint Seat Allocation Authority (JoSSA) website, followed by choice filling, seat allocation, and reporting to the allocated institute.

To get a seat in NIT Kurukshetra for M.Tech. in VLSI Design, candidates need to appear for the GATE exam and apply for admission through the CCMT (Centralized Counselling for M.Tech./M.Arch./M.Plan./M.Des.) process. The eligibility criteria include a valid GATE score in the relevant stream, and a bachelor's degree in a relevant field of engineering or technology. Shortlisted candidates will be called for counselling and seat allocation will be done based on their GATE score and preferences.

For reserved category students, the admission criteria for M.Tech. in VLSI Design at NIT Kurukshetra includes:
- Academic qualifications: A candidate should have passed B.Sc. (Engg.)/ B.Tech./B.E./ M. Sc. Degree or equivalent examination in the relevant discipline.
- Eligibility conditions: The minimum academic qualifications required are given in Table 4 of the prospectus.
- Admission process: The M.Tech seats are first filled by GATE-qualified candidates, then by industry-sponsored candidates and if seats remain vacant, by other candidates.
- Reservation: The bifurcation of seats for various specializations will be in the same proportion as in CCMT 2021.

To get admission to B.Tech. in Artificial Intelligence and Machine Learning at NIT Kurukshetra, follow these steps:
1. Check the eligibility criteria: The candidate should have a minimum of 75% marks in class 12th with Physics, Chemistry, and Mathematics as compulsory subjects.
2. Appear for JEE Main: Admission to B.Tech. programs at NIT Kurukshetra is based on the JEE Main ranks.
3. Register for JoSAA counseling: After the JEE Main results are announced, register for JoSAA counseling, where seats are allocated based on the candidate's rank and preferences.
4. Choose NIT Kurukshetra as your preferred institution: During the counseling process, choose NIT Kurukshetra as your preferred institution and select the B.Tech. in Artificial Intelligence and Machine Learning program.
5. Wait for the seat allocation: After the counseling process, wait for the seat allocation result. If you are allocated a seat, report to the institute and complete the admission formalities.

The eligibility criteria for admission to NIT Kurukshetra for B.Tech. in Industrial Internet of Things Engineering are:
- Candidates must have a valid score in the exam conducted by NTA.
- They must have passed the HSC (10+2) level examination from a recognized board with at least 75% marks.
- They must have PCM/PCMB as subject combinations in their 10+2 level examination.
- Admission is through the common counselling process - JoSAA.

Candidates must have a valid score and have passed B.Sc./ B.Sc. Honours in any Chemistry/ Applied Chemistry or any relevant discipline from a recognised institute/ university with at least 60% marks. Admission is based on merit in the IIT-JAM exam and participation in CCMN counselling.