Of the 23 IITs across India, only 10 institutions now offer specialized courses in Artificial Intelligence. Among these, IIT Kharagpur, the oldest IIT, is launching a new four-year B.Tech program in AI in 2024, with admissions based on JEE Advance scores. Similarly, IIT Madras has introduced a four-year B.Tech degree in Artificial Intelligence and Data Analytics in 2024. Among the seven oldest IITs, four–IIT Roorkee, IIT Madras, IIT Kharagpur, and IIT Guwahati–are currently offering courses in AI.
Check out a comprehensive overview of these prestigious institutions offering B.Tech degrees in AI and Data Science.
| IIT | Course | Seats Available |
| Indian Institute of Technology, Madras | B.Tech in Artificial Intelligence and Data Analytics | 50 |
| Indian Institute of Technology, Ropar | B.Tech in Artificial Intelligence and Data Engineering | 20 |
| Indian Institute of Technology Roorkee | B.Tech in Data Science and Artificial Intelligence | 40 |
| Indian Institute of Technology Bhilai | 40 | |
| Indian Institute of Technology Guwahati | 30 | |
| Indian Institute of Technology Kharagpur | B.Tech in Artificial Intelligence | 30 |
| Indian Institute of Technology Gandhinagar | 30 | |
| Indian Institute of Technology Hyderabad | 35 | |
| Indian Institute of Technology Jodhpur | B.Tech in Artificial Intelligence and Data Science | 50 |
| Indian Institute of Technology Patna | 46 |
Eligibility Criteria for IIT JEE
Eligibility criteria for candidates who aspire to pursue B.Tech in Artificial Intelligence from eminent institutions, such as IITs need to fulfill all the eligibility criteria notified by the concerned authorities.
Educational Qualifications: Candidates must secure a minimum of 75% aggregate marks in their Class XII Board examination, with at least five subjects. For students from Scheduled Caste (SC), Scheduled Tribe (ST), and Person with Disability (PwD) categories, the required aggregate is 65%.
Years of Appearance in Qualifying Exam: Candidates who completed their Class 12 or equivalent examination in 2022 or 2023, or are set to appear in 2024, are eligible to take the JEE (Main) 2024 exam, regardless of their age. However, they may need to meet the specific age requirements of the institutes where they wish to seek admission.
State of Eligibility: The State code of eligibility for JEE (Main) 2023 is based on where a candidate completed their Class 12 (or equivalent) exam, not their place of residence. For example, a candidate who completed Class 12 in Delhi but lives in Uttar Pradesh will have Delhi as their State code of eligibility. For those who passed from one state and took improvement exams in another, the original state remains their eligibility code.
For National Institute of Open Schooling (NIOS) students, the eligibility is based on the location of their study center. Indian nationals who completed Class 12 in Nepal or Bhutan will use their permanent Indian address for eligibility. Overseas Citizen of India (OCI) candidates who studied in India follow the same rules as Indian nationals, but those who studied abroad can only apply for Other State or All India quota seats.
Interested and eligible candidates must prepare for the Joint Entrance Examinations (JEE) Mains and secure rank in the the top 2.5 lakh out of the more than 12 lakh candidates who take the JEE Main exam each year. Candidates qualifying for the Mains exam will then proceed to the next step which is the JEE Advance exam. Candidates qualifying the IIT JEE Advance exam will make their way to the Indian Institute of Technology.
Career Scope of B.Tech in Artificial Intelligence
A Bachelor of Technology (B.Tech) in Artificial Intelligence (AI) from an IIT offers a dynamic pathway into a rapidly expanding field poised to reshape numerous industries. With the growing reliance on AI technologies, the demand for skilled professionals is at an all-time high. Here’s an in-depth look at the diverse career opportunities available to B.Tech graduates specializing in AI.
AI Engineer and Machine Learning Expert
AI engineers are crucial in designing and developing AI systems that drive automation and enhance decision-making processes. These professionals are responsible for crafting algorithms, optimizing machine learning models, and integrating AI technologies into various applications. Their work is integral to businesses aiming to harness AI for competitive advantages. Similarly, machine learning experts focus on refining algorithms to ensure models effectively learn from data and evolve.
Data Scientist and Analyst
Data scientists and analysts use AI techniques to transform vast amounts of data into actionable insights. Their role involves analyzing data patterns, developing predictive models, and employing machine learning to forecast trends. These insights are essential for shaping strategic decisions and improving business operations, making data scientists and analysts highly sought after in today’s data-driven economy.
Robotics Engineer
In the field of robotics, engineers apply AI to develop robots capable of performing complex tasks autonomously. Whether in manufacturing, healthcare, or logistics, robotics engineers work on integrating AI with robotics to enhance performance and functionality. This role includes hardware development, algorithm design, and real-time system integration, pushing the limits of robotic capabilities.
AI Research Scientist
AI research scientists are at the forefront of advancing artificial intelligence through innovative research and development. They focus on creating new algorithms, exploring theoretical concepts, and contributing to the academic and practical understanding of AI. This position often involves collaboration with other researchers and the publication of findings in scientific journals.
AI Product Manager
AI product managers oversee the creation and deployment of AI-driven products. They coordinate between technical teams and business stakeholders to ensure that AI projects meet market needs and align with organizational goals. This role encompasses product planning, development oversight, and performance analysis, requiring both technical knowledge and business acumen.
Software Developer with AI Focus
Software developers specializing in AI design and implement applications that incorporate intelligent technologies. They work on integrating AI functionalities into various software solutions, such as chatbots, recommendation systems, and virtual assistants. This role combines traditional software development skills with advanced knowledge of AI techniques.
Business Intelligence (BI) Analyst
BI analysts utilize AI tools to enhance business intelligence efforts. They leverage AI-driven analytics to provide insights into business performance, customer behavior, and market trends. This role involves using data visualization tools and generating reports that inform strategic business decisions.
Advanced Academic Pursuits
Graduates interested in deepening their expertise may pursue advanced degrees such as M.Tech, M.S., or Ph.D. in AI or related fields. This academic trajectory can lead to careers in research, academia, and high-level consultancy, further contributing to the advancement of AI technologies.
