Introduction
Artificial Intelligence and Data Science now shape software, automation, analytics, healthcare, finance, cybersecurity, and intelligent products. For students entering engineering in 2026, the right college should offer more than an AI or Data Science degree title. Strong programs combine computer science, mathematics, machine learning, data engineering, projects, research, and industry exposure.
India now offers dedicated B.Tech AI/DS programs, CSE degrees with AI/ML specializations, and newer industry-led models. This guide compares leading options using the approved program information, NIRF Engineering 2025, curriculum relevance, research, admissions, and practical exposure.
| A useful rule Do not choose a college only because the degree title contains AI, ML, or Data Science. Strong CS, mathematics, projects, and research matter more than a fashionable label. |
Top AI and Data Science Engineering Colleges in India: Quick Comparison
| Institute / Model | Relevant UG Program | Typical Admission | NIRF 2025 |
| IIT Madras | AI & Data Analytics | JEE Advanced / JoSAA | 1 |
| IIT Hyderabad | Artificial Intelligence | JEE Advanced / JoSAA | 7 |
| IIT Guwahati | Data Science & AI | JEE Advanced / JoSAA | 8 |
| IIT Patna | AI & Data Science | JEE Advanced / JoSAA | 19 |
| IIT Jodhpur | AI & Data Science | JEE Advanced / JoSAA | 27 |
| IIIT-Delhi | CS & Artificial Intelligence | JEE Main / applicable route | 63 |
| VIT | CSE AI/ML / AI & Data Engineering | VITEEE | 16 |
| Amrita | Artificial Intelligence & Data Science | AEEE / JEE Main | 23 |
| SRM IST | CSE with AI/ML specializations | SRMJEEE / applicable route | 14 |
| PES University | CSE (AI & ML) | KCET / JEE Main / applicable route | Not top 100 |
| Intellipaat School of Technology | Industry-led AI/DS skill tracks | ISTEE + interview | Not separately ranked |
Ranking note: NIRF ranks shown are from the 2025 Engineering category in the approved draft. They evaluate the institution broadly, not the specific AI/DS program.
1. IIT Madras – B.Tech in Artificial Intelligence and Data Analytics
IIT Madras is a leading choice for a dedicated AI-focused undergraduate degree. Its Wadhwani School program combines mathematics, AI/ML, data analytics, application development, deployment, and responsible AI. Ranked No. 1 in NIRF Engineering 2025, it suits students targeting deep AI engineering, research, or postgraduate study.
2. IIT Hyderabad – B.Tech in Artificial Intelligence
IIT Hyderabad was an early mover in undergraduate AI education. Its curriculum covers programming, probability, optimization, machine learning, deep learning, algorithms, databases, reinforcement learning, robotics, NLP, and computer vision. The dedicated AI department makes it a strong fit for students who want AI as the core discipline.
3. IIT Guwahati – B.Tech in Data Science and Artificial Intelligence
IIT Guwahati offers this program through the Mehta Family School of Data Science and Artificial Intelligence. It connects data science, machine learning, and intelligent systems within a broader IIT ecosystem. Ranked No. 8 in NIRF Engineering 2025, it suits students seeking balanced AI-and-data learning with interdisciplinary research.
4. IIT Patna – B.Tech in Artificial Intelligence and Data Science
IIT Patna offers a dedicated AI and Data Science branch and is ranked No. 19 in NIRF Engineering 2025. The program combines computing with AI- and data-oriented engineering plus access to IIT Patna’s labs and entrepreneurship ecosystem. It suits students seeking a clearly defined AI/DS degree within an IIT.
5. IIT Jodhpur – B.Tech in Artificial Intelligence and Data Science
IIT Jodhpur combines computer science foundations with AI, Data Science, and interdisciplinary applications. Ranked No. 27 in NIRF Engineering 2025, it is relevant for students interested in application-driven, trustworthy AI and interdisciplinary engineering use cases.
6. IIIT-Delhi – B.Tech in Computer Science and Artificial Intelligence
IIIT-Delhi is attractive for students who want serious AI specialization without weakening core computer science. The program includes CS and AI/ML foundations with computer vision, NLP, robotics, data mining, deep learning, and reinforcement learning options. Labs, projects, and undergraduate research strengthen its hands-on orientation.
7. VIT – CSE with AI/ML and AI/Data Engineering Options
VIT offers multiple AI-related pathways across its campuses, including CSE with Artificial Intelligence and Machine Learning and AI/Data Engineering options. Ranked No. 16 in NIRF Engineering 2025, it provides a large computing ecosystem, broad specialization choice, and active technical communities.
8. Amrita Vishwa Vidyapeetham – B.Tech in Artificial Intelligence and Data Science
Amrita offers AI and Data Science programs across multiple campuses and is ranked No. 23 in NIRF Engineering 2025. Its portfolio connects programming, machine learning, data engineering, and intelligent automation with interdisciplinary domains, making it a strong research-oriented private-university option.
9. SRM Institute of Science and Technology – CSE with AI/ML Specializations
SRM, ranked No. 14 in NIRF Engineering 2025, offers CSE programs with AI/ML-focused specializations. Its scale provides multiple computing pathways, electives, technical communities, and recruiting activity. Compare the exact campus, specialization, curriculum, and branch-level outcomes.
10. PES University – B.Tech CSE (Artificial Intelligence & Machine Learning)
PES University offers a four-year CSE program in AI & ML. Although it does not appear in the NIRF 2025 Engineering top 100 table cited in the approved draft, its Bengaluru location and computing ecosystem make it popular. Assess curriculum depth, projects, internships, and branch-level placement data.
A New-Age Industry-Led Option: Intellipaat School of Technology (IST)
Alongside established universities, students can also evaluate newer industry-led models. Intellipaat School of Technology (IST) describes its offering as a four-year on-campus undergraduate upskilling program delivered at UGC-recognized partner universities, with skill tracks in Computer Science, Data Science, AI & ML, and Robotics. The model emphasizes early coding, projects, industry mentorship, hackathons, research exposure, and startup activity.
The approved program information highlights research internships at IITs, NITs, and startups, plus student-led startups and AI/robotics projects. This can appeal to learners who prefer building from the early semesters. IST should, however, be evaluated together with the exact partner university. Applicants should verify the degree-awarding institution, approvals, fees, campus, placement responsibilities, and intake-specific outcomes rather than comparing IST as a legacy NIRF-ranked university.
What Should You Check Before Choosing an AI and Data Science College?
A strong program should cover programming, DSA, DBMS, operating systems, networks, software engineering, probability, statistics, linear algebra, calculus, and optimization. Specialization should add machine learning, deep learning, NLP, computer vision, data engineering, responsible AI, and preferably cloud or MLOps.
Also compare faculty, research, branch-level placements, internships, project culture, startup support, total cost, and degree structure. For collaborative models, verify the degree-awarding university and approvals where applicable. Strong projects and internships can matter as much as brand name.
Conclusion
There is no single best AI and Data Science college for every student. IIT Madras, IIT Hyderabad, and IIT Guwahati stand out for dedicated AI/DS ecosystems; IIT Patna and IIT Jodhpur add strong IIT-based options; IIIT-Delhi offers a compelling CS + AI combination; and VIT, Amrita, SRM, and PES provide established private-university alternatives.
Industry-led models such as IST can also be considered when early projects, mentorship, internships, and startup exposure matter, provided partner-university and degree details are verified. Ultimately, choose the environment where you can build strong mathematics, programming, AI knowledge, and a credible portfolio.
Frequently Asked Questions
1. Which are the top engineering colleges for AI and Data Science in India?
Leading options include IIT Madras, IIT Hyderabad, IIT Guwahati, IIT Patna, IIT Jodhpur, IIIT-Delhi, VIT, Amrita, SRM, and PES. Industry-led models such as IST can also be evaluated based on learning preference and partner-university details.
2. Which IIT is best for Artificial Intelligence?
IIT Madras, IIT Hyderabad, and IIT Guwahati are among the strongest choices because each offers a dedicated AI- or AI/DS-focused undergraduate program within a strong research ecosystem.
3. Is AI and Data Science better than CSE?
Not automatically. AI/DS offers earlier specialization, while CSE provides broader computing foundations. Compare mathematics, algorithms, systems, AI depth, projects, internships, and electives rather than choosing only by degree title.
4. Which entrance exam is required for B.Tech AI and Data Science?
IIT programs primarily use JEE Advanced through JoSAA. Others may use JEE Main, VITEEE, SRMJEEE, AEEE, KCET, or university-specific routes. IST uses ISTEE followed by an interview.
5. What should I verify before admission?
Verify curriculum, faculty, project culture, branch-level placements, internships, degree-awarding institution, approvals where applicable, total cost, campus experience, and written placement or refund terms.
