
Department of CSE (AI & ML)
The Department of CSE (AI & ML) was established in the academic year 2020-21 with an initial intake of 60 students. This capacity was increased to 120 in the academic year 2023-24 and further expanded to 240 in the academic year 2024-25. The department is committed to building a strong foundation in Artificial Intelligence by incorporating key principles and technologies, including probabilistic models, knowledge representation, and machine learning. The curriculum is designed to provide students with comprehensive exposure to a wide range of AI applications. The department's mission aligns with the overarching goals of BALAJI INSTITUTE OF TECHNOLOGY & SCIENCE, striving to achieve excellence in AI education and research.
- To be a global leader in Artificial Intelligence and Machine Learning research, innovation, and education, driving transformative advancements that empower industries, enhance human capabilities, and contribute to a smarter, more sustainable world.
Vision

- M1:Innovative Research& Quality Education:– To Conduct research on cutting-edge Technologies to address complex real-world problems across diverse domains and provide world-class education and training to equip students with technical expertise, ethical responsibility, and problem-solving skills.
- M2: Industry Collaboration & Ethical AI Development:–To Foster strong partnerships with industries, academia, and government organizations to develop impactful AI solutions and promote responsible and ethical AI practices that align with societal values and global sustainability.
- M3: Entrepreneurship & Innovation:Encourage entrepreneurship and the development of AI-driven start-ups and products that contribute to economic growth.
- M4: Community Engagement:– Engage with communities to spread AI awareness, inclusivity, and accessibility for societal benefit.
Mission










Programs Outcomes
graduate of the Artificial Intelligence & Machine Learning Program will demonstrate:
- Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
- Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
- Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
- Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
- The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
- Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
- Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
- Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
- Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments. to manage projects.
- Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.











