IIIT Hyderabad has a modern, urban campus with compact yet efficient infrastructure. Classrooms are equipped with smart teaching tools and comfortable seating. Labs are cutting-edge, especially in AI, robotics, and data science. The library is well-stocked with physical and digital resources. Hostels, sports grounds, and common areas are well-maintained.
The infrastructure is pretty good. They have good classrooms and really good facilities at the lab. The college has a great research culture, with a huge chunk of money being invested in research labs. The Wi-Fi facilities are not that good, and the network is not that good. Also, all classrooms are not air-conditioned. The hostels are also pretty good. But there's one issue with hostels, which is drinking water. It has happened many times that drinkable water is not available on many floors. Also, the lift does not work properly and gets stuck many times.
The infrastructure is amazing. We have spacious classrooms. Laboratory is well-maintained. Sports facilities are also good. LAN is also provided in every classroom. It provides a good library. Our campus is Wi-Fi-enabled. Canteen facility is also good.
Hello,
Yes, you may be eligible for an IIT PhD after completing your online M.Tech from IIT Hyderabad. But still, your eligibility depends on factors like academic criteria and potentially a valid GATE/UGC/CSIR score. If you meet all of these criteria, you can surely get admission to IIT for a PhD degree.
I hope it will clear your query!!
The IIIT Hyderabad PDM (Postgraduate Diploma in Machine Learning/AI/Data Science) interview is meant to check your understanding of basics, problem-solving ability, and clarity of thought. To prepare, you should focus on three main areas.
First, revise the important subjects. You need to be clear about programming basics, especially in Python. Revise data structures like arrays, lists, stacks, queues, and trees. Brush up on algorithms like searching, sorting, and recursion. Go through core mathematics that supports machine learning, such as linear algebra, probability, and calculus. Review statistics topics like mean, variance, distributions, and hypothesis testing.
Second, practice problem-solving. Go to coding platforms like LeetCode, HackerRank, or Codeforces and try solving medium-level problems. You do not need to solve very hard ones, but be comfortable with writing clean and logical code. For mathematics, practice solving small problems that involve probability, matrices, and statistics.
Third, prepare for machine learning basics. You should know what supervised and unsupervised learning are, what regression and classification mean, and how common algorithms like decision trees, k-means, and linear regression work at a basic level. They usually test whether you understand the concepts, not whether you have done big projects.
In the interview, they may also ask you to solve small logical puzzles or math questions to see how you think. Be clear in explaining your thought process step by step, even if you are not fully sure of the answer.
Also, prepare to talk about your motivation. They may ask why you want to join IIIT Hyderabad’s PDM program, what your career goals are, and if you have done any projects, internships, or coursework related to coding or data science.
Hello
For admission to IIIT Hyderabad through JEE Main, you need at least 60 aggregate in Physics, Chemistry, and Mathematics (PCM) not the overall percentage. This is the minimum eligibility requirement. The actual selection is based mostly on your JEE Main score. If you're applying through special channels like UGEE or Olympiads, the criteria may differ. Always check the latest official guidelines for the exact requirements.
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NAAC A+ Grade | Among top 100 universities of India (NIRF 2024) | 40 crore+ scholarships distributed
1000+ Recruiters | 450+ Patents | 50000+ Alumni network
Campuses in Ropar, Agartala, Aizawl, Ajmer, Aurangabad, Calicut, Imphal, Itanagar, Kohima, Gorakhpur, Patna & Srinagar
IIIT Hyderabad has been ranked 38th in the engineering category and 89th overall by the NIRF ranking 2025.
