Top 10 IITs with B.Tech in AI & Data Science : Eligibility, Career Scope, and Complete List; Check Here

In today’s world, technology is driving big changes, and Artificial Intelligence (AI) and Data Science are leading the way. As AI and data analytics change industries like healthcare and finance, the need for skilled professionals is growing quickly. To meet this need, some Indian Institutes of Technology (IITs) now offer specialized B.Tech programs in AI and Data Science.

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Out of the 23 IITs in India, only 10 currently offer specialized courses in Artificial Intelligence. For example, IIT Kharagpur, the oldest IIT, is starting a new four-year B.Tech program in AI in 2024. Admission will be based on JEE Advanced scores. Similarly, IIT Madras is introducing 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 offering courses in AI.

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Take a look at a detailed overview of these top institutions offering B.Tech degrees in AI and Data Science.

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Eligibility Criteria for IIT JEE

If you’re aiming to pursue a B.Tech in Artificial Intelligence from top institutions like the IITs, you’ll need to meet certain eligibility criteria set by the authorities.

Educational Qualifications: You must score at least 75% aggregate marks in your Class 12 Board exams, covering at least five subjects. For students from Scheduled Caste (SC), Scheduled Tribe (ST), and Person with Disability (PwD) categories, the required aggregate is 65%.

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Year of Appearance in Qualifying Exam: You’re eligible to take the JEE (Main) 2024 exam if you completed your Class 12 or equivalent exam in 2022 or 2023, or if you’ll be appearing in 2024. While age limits generally don’t apply, you may need to meet specific age requirements set by the institutes you wish to join.

State of Eligibility: Your State code of eligibility for JEE (Main) 2023 is based on where you completed your Class 12 (or equivalent) exam, not where you live. For example, if you completed Class 12 in Delhi but live in Uttar Pradesh, your State code of eligibility is Delhi. If you passed from one state and took improvement exams in another, your original state remains your eligibility code.

For students from the National Institute of Open Schooling (NIOS), eligibility is based on where your study center is located. 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.

If you’re interested and eligible, you must prepare for the Joint Entrance Examinations (JEE) Mains. To move on to the JEE Advanced exam, you’ll need to rank in the top 2.5 lakh out of the more than 12 lakh candidates who take the JEE Main exam each year. If you qualify for the JEE Advanced exam, you can then aim for admission to the Indian Institutes of Technology (IITs).

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Career Scope of B.Tech in Artificial Intelligence

A Bachelor of Technology (B.Tech) in Artificial Intelligence (AI) from an IIT opens up a world of opportunities in a fast-growing field. As AI continues to reshape industries, the demand for professionals with AI expertise is higher than ever. Here’s a look at the various career paths available to B.Tech graduates specializing in AI:

AI Engineer and Machine Learning Expert: AI engineers design and develop AI systems that drive automation and improve decision-making. They create algorithms, optimize machine learning models, and integrate AI into various applications. Machine learning experts focus on refining algorithms to help models learn from data and evolve. Both roles are essential for businesses looking to gain a competitive edge with AI.

Data Scientist and Analyst: Data scientists and analysts use AI techniques to turn large amounts of data into actionable insights. They analyze data patterns, build predictive models, and use machine learning to forecast trends. These insights help shape strategic decisions and improve business operations, making data scientists and analysts highly valued in today’s data-driven world.

Robotics Engineer: Robotics engineers apply AI to develop robots that can perform complex tasks on their own. Whether in manufacturing, healthcare, or logistics, they work on integrating AI with robotics to enhance performance and functionality. This role involves developing hardware, designing algorithms, and integrating real-time systems, pushing the boundaries of what robots can do.

AI Research Scientist: AI research scientists are at the forefront of AI innovation. They create new algorithms, explore theoretical concepts, and contribute to both academic and practical knowledge of AI. This role often involves collaborating with other researchers and publishing findings in scientific journals.

AI Product Manager: AI product managers lead the development and deployment of AI-powered products. They work with technical teams and business stakeholders to ensure AI projects meet market needs and align with company goals. This role involves product planning, overseeing development, and analyzing performance, requiring both technical expertise and business insight.

Software Developer with AI Focus: Software developers specializing in AI build applications that incorporate intelligent technologies. They work on adding AI functionalities to various software solutions, like chatbots, recommendation systems, and virtual assistants. This role combines traditional software development with advanced AI knowledge.

Business Intelligence (BI) Analyst: BI analysts use AI tools to boost business intelligence efforts. They apply AI-driven analytics to gain insights into business performance, customer behavior, and market trends. This role involves using data visualization tools and generating reports that help inform strategic business decisions.

Advanced Academic Pursuits: Graduates looking to deepen their knowledge may pursue advanced degrees like M.Tech, M.S., or Ph.D. in AI or related fields. This path can lead to careers in research, academia, or high-level consultancy, contributing to the ongoing development of AI technologies.

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