IIIT Nagpur - Indian Institute of Information Technology Answered Questions

The placement stats for B.Tech. in Computer Science Engineering (Artificial intelligence and Machine Learning) at IIIT Nagpur are as follows:
| Course | Placement Stats |
| --- | --- |
| B.Tech. in Computer Science Engineering (Artificial intelligence and Machine Learning) | Highest Salary: INR 91,50,000 |
Note: The exact placement statistics could not be found in the provided tool output. The above information is based on the available data.

Admission to B.Tech in Computer Science Engineering (Artificial Intelligence and Machine Learning) at IIIT Nagpur is based on the Joint Entrance Examination (JEE) Main score. Candidates must meet the eligibility criteria, which includes a minimum percentage of marks in class 12th and a valid JEE Main score. The institute also considers the All India Rank (AIR) in JEE Main for admission. Additionally, candidates must register for the Joint Seat Allocation Authority (JoSAA) counseling process to be considered for admission. The specific admission criteria may vary from year to year, and candidates are advised to check the official website of IIIT Nagpur for the most up-to-date information.

To get admission to B.Tech. in Computer Science Engineering (Artificial intelligence and Machine Learning) at IIIT Nagpur, candidates need to appear for JEE Mains. The cutoff for 2024 is 24592-27105. There are 66 seats available for this course. The total fees for the course are INR 9,15,000.

To apply for B.Tech. in Computer Science Engineering (Artificial intelligence and Machine Learning) at IIIT Nagpur, candidates can follow these steps:
1. Check the eligibility criteria: Candidates must have passed 10+2 with a minimum of 75% marks in Physics, Chemistry, and Mathematics.
2. Fill the application form: Candidates can fill the application form on the official website of IIIT Nagpur.
3. Appear for JEE Main: Candidates must appear for JEE Main and qualify for the exam.
4. Counselling: Shortlisted candidates will be called for counselling, where they will be allotted seats based on their JEE Main rank.
5. Document verification: Candidates must verify their documents, including their 10+2 mark sheet, JEE Main admit card, and category certificate (if applicable).
6. Fee payment: Candidates must pay the tuition fee and other fees as per the institute's guidelines.
7. Reporting to the institute: Candidates must report to the institute on the specified date and time, with all the required documents and fees.

Yes, direct admission to IIIT Nagpur B.Tech. in Computer Science Engineering (Artificial intelligence and Machine Learning) programme is available through channels like JEE Main, 10+2 marks, or other state-level entrance exams for a limited number of seats.

To apply for B.Tech. in Computer Science Engineering (Data Science and Analytics) at IIIT Nagpur, visit the official website for detailed information and updates. The admission process is conducted through JoSAA. The total seat intake for this programme is 72.

The placements for B.Tech. in Computer Science Engineering (Artificial intelligence and Machine Learning) at IIIT Nagpur are not explicitly stated in the provided information. However, the institute's cutoff and admission process are mentioned. The JEE Main cutoff for 2024 is over, with a cutoff of 24592 to 27105 for B.Tech. in Computer Science Engineering (Artificial intelligence and Machine Learning). There are 66 seats available for this course.

Yes, the B.Tech. in Computer Science Engineering (Human Computer Interaction and Gaming Technology) eligibility criteria differ for the reserved category candidates at IIIT Nagpur. The eligibility criteria for reserved category candidates are relaxed compared to the general category candidates.

It is worth paying for the B.Tech. in Electronics and Communication Engineering (Internet of Things) at IIIT Nagpur due to its UGC and AICTE approval, NBA accreditation, and Institute of National Importance status, which qualifies students for core ECE government recruitment pathways and emerging IoT-focused technical roles.