B.E. · AIDr. Mallikarjuna S B

Artificial Intelligence & Machine Learning.

Innovate with Intelligence, Lead with Technology

Artificial Intelligence & Machine Learning. building

About the department

The Department of Artificial Intelligence and Machine Learning (AI&ML) at Bapuji Institute of Engineering and Technology (BIET), Davangere, is established in the year 2022 with an initial intake of 60 students, which is increased to 240 from the academic year 2024–25 in response to the growing demand for AI and ML professionals.

The Department of Artificial Intelligence and Machine Learning (AI&ML) at Bapuji Institute of Engineering and Technology (BIET), Davangere, is established in the year 2022 with an initial intake of 60 students, which is increased to 240 from the academic year 2024–25 in response to the growing demand for AI and ML professionals. The department is dedicated to providing quality education, industry-oriented hands-on training programs in emerging technologies, hackathons, student development program research opportunities in innovative areas. Its curriculum encompasses key areas such as Artificial Intelligence, Machine Learning, Deep Learning, Gen AI, Agentic AI, Anthropic AI, AI with Data Science, Natural Language Processing (NLP) and Audio/Video analysis using AI with ML. The department is supported by highly qualified faculty members, well-equipped laboratories, and strong industry collaborations that enable students to gain hands-on experience through internships, projects, and technical activities. It also encourages research and innovation in advanced domains such as Deep Learning, Robotics, and the Internet of Things (IoT). Through workshops, seminars, guest lectures, and conferences, the department fosters continuous learning and prepares students to become competent professionals capable of addressing real-world challenges and contributing to technological advancements.

AI
Department code
UG
Programme level
24
Programme faculty count
5
Published laboratories
240
Programme sanctioned intake · 2026-27
4 years
Programme duration
2022
Established
VTU
Affiliating university
Eligibility & admission routes
Class 12 with Physics, Mathematics and one of Chemistry / Biology / Computer Science — minimum 45% (40% for reserved categories). Entrance via KCET / COMEDK.
Admission routes: KCET, COMEDK, Management Quota.
Dr. Mallikarjuna S B
Head of department
Dr. Mallikarjuna S B
Professor and Head

Faculty & staff

Infrastructure

Classroom B117
Classroom B117
Classroom B117
Classroom B117
Classroom B117
Classroom B117
Classroom B117
Classroom B117
Classroom B003
Classroom B003

Placement

Artificial Intelligence & Machine Learning placement record by year
YearCompaniesPlaced · In-campusPlaced · Off-campusTotalHighest package
2026123203240 LPA

Events

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