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B.V.V. Sangha's
Basaveshwar Engineering College, BagalkoteESTD: 1963

Artificial Intelligence & Machine Learning

Shaping Intelligent Minds for a Smarter Tomorrow

Overview

Established in 2020 with an initial intake of 60 students, the Department of Artificial Intelligence and Machine Learning was founded to offer quality education in one of the fastest-growing areas of technology. The department provides a strong academic foundation in AI, Machine Learning, Data Science, and related fields through a curriculum that blends theoretical knowledge with practical learning.

The department emphasizes innovation, critical thinking, and hands-on experience through modern laboratories, research activities, and industry-oriented initiatives. Faculty members are actively involved in research and guide doctoral scholars, fostering a vibrant culture of learning and knowledge creation.

Students are encouraged to participate in research projects, internships, hackathons, and technical events that enhance their professional skills and problem-solving abilities. Through academic excellence, ethical values, and experiential learning, the department strives to nurture competent, innovative, and socially responsible professionals ready to contribute to the evolving technological landscape.

Vision

To develop competent, social and ethically responsible professionals in Artificial Intelligence and Machine Learning through excellence in education, research and innovation.

Mission

  • Develop globally competent AIML professionals to address real-world problems.
  • Imbibe moral and socio-ethical values.
  • Cultivate a multidisciplinary environment that encourages collaboration and lifelong learning.
  • Foster a culture of research, innovation and entrepreneurship.

Quick Facts

At a glance
Course and DurationB.E. 4 Years
Doctorates02
Intake60
Ph.D Pursuing02
No. of Faculty08
Technical Staff03

Academics

Programs Offered

  • B.E. — Artificial Intelligence & Machine Learning

Programme Structure

  • 4-year B.E. programme under VTU — revised 3rd to 8th semester scheme (NEP) approved in the 8th Board of Studies meeting (30.06.2026): 160 credits for students admitted to 1st year from 2025-26, and for lateral-entry students joining 2nd year from 2026-27.

Programme Educational Objectives (PEOs)

  • PEO1: Graduates will be able to develop high-quality AI and ML solutions for various application domains under realistic constraints applying professional engineering skills.
  • PEO2: Demonstrate the importance of life-long learning through advanced degrees, professional development, specialized certifications and other professional activities related globally to engineering and society.
  • PEO3: Engage in sustainable research and innovation through team work, ethical behavior, proactive involvement, and effective communication.

Programme Specific Outcomes (PSOs)

  • PSO1: Apply the fundamentals of mathematics, science and engineering knowledge to understand, analyze and develop AI-based complex systems.
  • PSO2: Exhibit proficiency in artificial intelligence and machine learning for providing solutions to real world problems across the society.
  • PSO3: Demonstrate the ability to lead and work for creating an innovative career path & engage in lifelong learning with moral values.

Knowledge and Attitude Profile (WK)

  • WK1: A systematic, theory-based understanding of the natural sciences applicable to the discipline and awareness of relevant social sciences.
  • WK2: Conceptually-based mathematics, numerical analysis, data analysis, statistics and formal aspects of computer and information science to support detailed analysis and modelling applicable to the discipline.
  • WK3: A systematic, theory-based formulation of engineering fundamentals required in the engineering discipline.
  • WK4: Engineering specialist knowledge that provides theoretical frameworks and bodies of knowledge for the accepted practice areas in the engineering discipline; much is at the forefront of the discipline.
  • WK5: Knowledge, including efficient resource use, environmental impacts, whole-life cost, reuse of resources, net zero carbon, and similar concepts, that supports engineering design and operations in a practice area.
  • WK6: Knowledge of engineering practice (technology) in the practice areas in the engineering discipline.
  • WK7: Knowledge of the role of engineering in society and identified issues in engineering practice in the discipline, such as the professional responsibility of an engineer to public safety and sustainable development.
  • WK8: Engagement with selected knowledge in the current research literature of the discipline, awareness of the power of critical thinking and creative approaches to evaluate emerging issues.
  • WK9: Ethics, inclusive behavior and conduct. Knowledge of professional ethics, responsibilities, and norms of engineering practice. Awareness of the need for diversity by reason of ethnicity, gender, age, physical ability etc. with mutual understanding and respect, and of inclusive attitudes.

Programme Outcomes (POs)

  • PO1: Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.
  • PO2: Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
  • PO3: Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)
  • PO4: Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8)
  • PO5: Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
  • PO6: The Engineer and the World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7)
  • PO7: Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
  • PO8: Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
  • PO9: Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences.
  • PO10: Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one's own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
  • PO11: Life-Long Learning: Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)

Milestones (2025-26)

  • Outstanding placement achievement (2025-26): Mr. Suryaditya secured a Software Engineer position at Palo Alto Networks with a CTC of ₹37 LPA — one of the highest placement packages of the department.
  • International research recognition: students Chinnu Kumbar, Rakshitha Chimmalagi and Aliza Pathan presented "XAI-Driven Glaucoma Detection on Android Devices Using Retinal Fundus Photography" at ICDTE-2025 (RV Institute of Technology and Management, Bengaluru), with proceedings published by Springer.
  • NAIN 2.0 startup success: two student startups — EEPD and SafePrint — received ₹5 lakh funding each under the Government of Karnataka's NAIN 2.0 initiative, mentored by department faculty.
  • Prestigious CSR research grant: ₹20 lakh from City Union Bank Ltd. for the project "Development of Heterogeneous Cluster-Based Parallel and Accelerated Algorithms for Video Analytics in IoT Framework", led by Dr. Vishwanath C. Kagawade (Principal Investigator).