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B. Tech. in Artificial Intelligence and Data Science


The programme delves deep into the forefront of Artificial Intelligence (AI) technologies with which the dynamic influence on various industries is explored. This influence extends beyond reshaping decision-making paradigms to fundamentally alter the landscape of data interactions. Our curriculum, thoughtfully designed for students of varying proficiency levels, spans from foundational principles to advanced insights in AI.

With a steadfast commitment to establishing robust theoretical foundations, the programme aims to empower students with the skills needed to craft practical solutions for enterprises and address global societal challenges.

Experiential learning takes center stage, offering students a unique blend of practical projects, quizzes, and hands-on exercises to fortify their comprehension. Additionally, intensive sessions led by industry experts in lectures and capstone projects provide students with invaluable exposure to real-world applications of AI and Data Science.

At the core of our programme's design is the thoughtful integration of computer science and engineering principles. The programme outline strategically focuses on nuanced domains within AI and Data Science, ensuring that students gain a well-rounded understanding of these evolving fields. This approach, marked by authenticity and depth, prepares our students for success in the dynamic landscape of AI.


Four Years / Eight Semesters

Commence of the course

Course Duration

Four Years

Mode of Study


B. Tech. (Regular)

10+2 from recognized Board / Council with Minimum 50% marks in Physics & Mathematics as compulsory subjects along with one of the Chemistry /Biotechnology / Biology / Technical Vocational Subject.

Score in JEE (Main); JEE (Advanced); Karnataka CET; COMED-K; AUSAT (Alliance University Scholastic Aptitude Test); or any other State-Level engineering entrance examination.

B. Tech. (Lateral)

Passed Diploma examination with at least 50% marks in relevant branch of Engineering and Technology.

Passed B. Sc. Degree from a recognized University as defined by UGC, with at least 50% marks & passed 10+2 examination with Mathematics as a subject.

A relaxation of 5% marks or its equivalent grade may be allowed for those belonging to SC / ST / OBC (non-creamy layer)/ Differently Abled.

Key Features

Cutting-edge syllabus incorporating advanced techniques in AI and Data Science.

Theoretical and practical sessions on ChatGPT, Open AI, and Generative AI.

Hands-on capstone projects, guided by faculty and industry experts.

Coding classes and profile-building workshops by core AI companies.

Workshops on the design and deployment of computer vision models, AI models, and real-time problem-solving, led by industry experts.

Computer Vision Hackathon in collaboration with leading AI industry professionals.

Well-equipped lab facilities, featuring a center of excellence akin to Apple and IBM.

Career mentorship sessions conducted by academic and industry experts.

Development of a comprehensive skill set encompassing programming, design, and project management.

Programme Structure

Career Opportunities

A multitude of rewarding career paths with networking events, career counseling, and comprehensive support designed to prepare students for various career roles such as Artificial Intelligence Engineer, Data Science Consultant, Data scientists and AI Engineer, Data Scientist / Data Architect, Data Science Manager, Principal / Chief Data Scientist, Data Analyst, Data Warehouse Engineer, Business Intelligence Developer, Computer Vision Engineer, ML Specialist.

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