Years | year 1 | year 2 | year 3 | year 4 | ||||
---|---|---|---|---|---|---|---|---|
Semester | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
Tution fees | ₹100000 | ₹100000 | ₹100000 | ₹100000 | ₹100000 | ₹100000 | ₹100000 | ₹100000 |
Other fees | ₹30388 | ₹11500 | ₹13388 | ₹11500 | ₹13388 | ₹11500 | ₹13388 | ₹11500 |
Total Year Wise fees | ₹2.42 Lakhs | ₹2.25 Lakhs | ₹2.25 Lakhs | ₹2.25 Lakhs |
Events | Dates |
---|---|
Initiation of Withdrawal of Seat/Exit from Seat Allocation Process [Round 3] [JoSAA Counselling] [B.Tech] | Ongoing Jul 05, 2024 - Jul 08, 2024 |
Last Date for Fee Payment [Round 3] [JoSAA Counselling] [B.Tech] | Upcoming Jul 08, 2024 |
Online Reporting: Fee Payment/ Document Upload/ Candidate Response [Round 3] [JoSAA Counselling] [B.Tech] | Ongoing Jul 04, 2024 - Jul 08, 2024 |
Withdrawal Query Response [Round 3] [JoSAA Counselling] [B.Tech] | Ongoing Jul 05, 2024 - Jul 09, 2024 |
Resolution of Fee Payment Issues for Candidates [Round 3] [JoSAA Counselling] [B.Tech] | Upcoming Jul 09, 2024 |
JEE Advanced Registration Dates | Tentative Apr 27, 2025 - May 07, 2025 |
JEE Advanced Admit Card Date | Tentative May 17, 2025 |
JEE Advanced Exam Date | Tentative May 26, 2025 |
JEE Advanced Result Date | Tentative Jun 09, 2025 |
JEE-Advanced counselling | Tentative Jun 10, 2025 |
Events | Dates |
---|---|
Online Registration Timeline (for JEE Main Qualified Candidates) [B.Tech] | Apr 27, 2024 - May 07, 2024 |
Direct Registration Timeline for OCI/PIO and Foreign Candidates [B.Tech] | Apr 16, 2024 - May 07, 2024 |
Last date for fee payment of candidates who have successfully uploaded required documents [B.Tech] | May 10, 2024 |
Events | Dates |
---|---|
Online Reporting: Fee Payment/ Document Upload/ Candidate Response [Round 3] [JoSAA Counselling] [B.Tech] | Ongoing Jul 04, 2024 - Jul 08, 2024 |
Last Date for Fee Payment [Round 3] [JoSAA Counselling] [B.Tech] | Upcoming Jul 08, 2024 |
Initiation of Withdrawal of Seat/Exit from Seat Allocation Process [Round 3] [JoSAA Counselling] [B.Tech] | Ongoing Jul 05, 2024 - Jul 08, 2024 |
Resolution of Fee Payment Issues for Candidates [Round 3] [JoSAA Counselling] [B.Tech] | Upcoming Jul 09, 2024 |
Withdrawal Query Response [Round 3] [JoSAA Counselling] [B.Tech] | Ongoing Jul 05, 2024 - Jul 09, 2024 |
Events | Dates |
---|---|
Seat Allocation [Round 3] [JoSAA Counselling] [B.Tech] | Jul 04, 2024 |
Withdrawal Query Response [Round 2] [JoSAA Counselling] [B.Tech] | Jun 28, 2024 - Jul 03, 2024 |
Last Day to Respond to Queries [Round 2] [JoSAA Counselling] [B.Tech] | Jul 03, 2024 |
Events | Dates |
---|---|
JEE Advanced Registration Dates | Tentative Apr 27, 2025 - May 07, 2025 |
JEE Advanced Admit Card Date | Tentative May 17, 2025 |
JEE Advanced Exam Date | Tentative May 26, 2025 |
The 2024 JEE Advanced round 1 cutoff rank for the Bachelor of Technology [B.Tech] (Artificial Intelligence) at IIT Hyderabad was 852 for the General category. While In 2023 the cutoff rank was 875 .
Courses | 2024 | 2023 | 2022 | 2021 | 2020 |
---|---|---|---|---|---|
Compare | 852 | 875 | 783 | 676 | 623 |
The candidates must have passed a 10+2 degree with aggregate marks of 75% (or 65% for SC, ST, and PwD) from a recognized board.
Selection – JEE Main + JEE Advanced + JoSAA Counselling
Hostel Details For All Students :
Notes:
IIT Hyderabad | IIT Gandhinagar | |
---|---|---|
Reviews Rating | ||
Cost To Study | Total Fees ₹916552 (4 Years ) | Total Fees ₹879454 (4 Years ) |
Ranking | # Ranked 8/200 by NIRF Engineering Ranks | # Ranked 11/31 by India Today Engineering Ranks |
Highest Salary | ₹6378000 | - |
Average Salary | ₹2007000 | - |
General Course Details | Duration - 4 Years Course Offered - Full Time Total Seats - 35 Mode - Full Time Degree Type - On Campus Course Level - Graduation Course Credential - Degree | Duration - 4 Years Course Offered - Full Time Total Seats - 30 Mode - Full Time Degree Type - On Campus Course Level - Graduation Course Credential - Degree |
Eligibility | 10+2 with 75% + JEE Advanced | 10+2 with 75% + JEE Advanced |
Search from 20K+ Courses and 35+ Streams
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Dislikes
First year courses are same for all branches which involves having basic knowledge all should have on chemistry and physics. Our first semester also gives intro to programming by introducing C language. Due to same courses we interacted with fellow branch students Then our core courses starts from next semester. Second sem involves core courses and pre requisite courses such as probability etc. Next one of the main course DSA , computer architecture etc are in the third sem. As a student from AI departments 4th sem onwards machine learning took an important role of almost 10 credits. Then there are some free eletives in AI department. There are LA courses which enhances cultural, social,ethical,technological,moral based knowledge. This part also has learning other languages such as Japanese etc. There CA courses which involves singing,dancing, drawing, etc. Overall curriculam involves all kinds of subjects with small diversion from core subjects.
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Dislikes
The curriculum is well designed. In the 1st semester,there will be continuation courses to the course in 10+2. And in further semester, we will be able to know regarding the machine learning, Deep learning and neural networks,etc.. related to Artificial Intelligence. But there won't be any labs for us. I suggest to keep some sessions and give the equipment regarding the concepts taught in the course
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Dislikes
People around me said that my branch artificial intelligence will have a good scope in future and few things that I know about it made me still fascinating about the subject. Professors who teach me are very well qualified all of them are PhD graduates in either IISC or IITs. Exams are not too easy at the same time not hard if we study hard then you'll score a decent marks.
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Dislikes
My course curriculum is well structured and we have different types of courses in the AI curriculum. You can get a detailed structure on the IIT Hyderabad website. In the future AI industry will have more scope why i choose IIT Hyderabad
In counseling, you don't choose your course your rank decides which course you get. faculty students ratio is good than other IITs it's around 1:10. All faculty members are highly qualified in their field. If we compare it to other IITs we have a segmented system for the exam we have 3 segments each semester and each course has some credit based on its length. We have to collect some credits to get a B.Tech degree.
Many participants took use of the institute's grants to meet the complete cost of the course, which was Rs. 8.88 lakhs. The following scholarships are available: Grants for SC/ST students, Merit Cum Means Scholarships, and the Central Sector Scheme of Scholarships for College and University Students are just a few examples. Each of them has distinct requirements. The compensation for these scholarships was in the form of a tuition fee reduction.
The course curriculum here is up to date with the world standards and complies with the emerging technologies and the upgradation that it provides. The modules taught here include, vector calculus, data structures, calculus, differential equations, introduction to metric spaces, series of functions, foundations of machine learning and artificial intelligence, Matrix theories, probability and random variables, digital fabrication, bioengineering, discrete mathematics, introduction to programming, environmental mathematics, linear systems and signal processing, etc. The latter semesters have increased the difficulty level with modules like convex optimisation algorithms, numerical analysis, reinforcement learning, computer networks, advanced topics in machine learning, control systems, ethics and values, robotics, etc. the faculty here is up to date with the current curriculum and every one holds a PhD degree. We have biweekly quizzes and terminal examinations to prepare us for the main exams. The faculty student ratio is 9:1.
I found the course curriculum quite interesting and intriguing in the field of Artificial Intelligence. Our practical knowledge is tested in the assignments and projects given to us and how well we perform in them since there is a lot of scope of research in artificial intelligence. Professors teach us very well by using some of the great teaching methods and adopting their own techniques.
It is a bit expensive but we will have a Remmision when we are from below income background and the government provides scholarship for all the merits and some private groups offer a scholarship ships so it is ease to pay it.
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