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B. Tech. in Artificial Intelligence and Machine Learning


With deliberate emphasis on striking an optimal balance between theoretical knowledge and practical experience, this programme is offered to meet the escalating industry demand for skilled individuals. The programme is carefully designed to ensure a comprehensive understanding of algorithms, methodologies, and the strategic integration of acquired data in developing systems utilizing AI.

Graduates of this program emerge well-equipped to showcase their expertise in the latest tools and technologies, particularly in Machine Learning concepts. Their proficiency spans diverse domains including knowledge management, mobile and distributed application development, intelligence web/e-commerce development, database administration, computer hardware, networking, education and training, and decision support systems.

The programme's commitment to academic excellence ensures that graduates are not only prepared but excel in navigating the complexities of the AI and Machine Learning landscape. Our graduates are uniquely positioned to meet and exceed the evolving demands of the industry.


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

Curriculum aligned with industry standards.

Strategic partnerships with industry leaders to earn valuable certifications.

State-of-the-Art lab facilities including a center of excellence established in collaboration with Apple and IBM.

Practical Problem-Solving Experience with AI and ML.

Comprehensive Placement Preparedness and Career Support.

Research Focus, Algorithm Development, and Industry Application.

Programme Structure

Career Opportunities

Explore diverse career opportunities in the dynamic field of AI and Data Science, where you can shape the future as an Artificial Intelligence Engineer, utilizing innovative solutions; become a Data Science Consultant, extracting valuable insights from data; specialize in Computer Vision Engineering, crafting systems for visual data interpretation; delve into the world of Machine Learning as an Engineer, contributing to autonomous learning algorithms; or embark on a path as a Software Engineer, using your programming prowess to create efficient and robust software solutions. The possibilities are vast, offering a range of roles that align with your passion and expertise in this ever-evolving industry.

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