• Empower the students to be socially responsible technocrats in the area of Artificial Intelligence and Machine Learning through quality education.

• To impart knowledge and encourage research and innovation in contemporary technologies.

• To collaborate with industry and premier institutions for providing enhanced experiential learning.

• To enable students to become quick learners and develop cutting-edge AI&ML applications.

• PEO₁:To provide students with a sound knowledge of science, mathematics, and engineering principles together with an in-depth disciplinary knowledge required to succeed in the profession of IT.

• PEO₂:To provide students an academic environment with an awareness of advanced technological growth leading to life-long learning needed for a successful professional career, excellence, and leadership.

• PEO₃:To train students with a wide scientific and engineering knowledge to comprehend, analyse, design, and create innovative software solutions and products for the problems of real life.

• PEO₄:To prepare students for graduate and postgraduate programmes and succeed in their careers in the field of Artificial Intelligence and Machine Learning.

• PEO₅:To empower students with effective communication skills, teamwork, a multidisciplinary approach, and an ability to relate engineering issues to the broader social context.

• PEO₆:To inculcate in students professional and ethical attitude with a strong character to uphold the spiritual and cultural values.

• PO₁: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

• PO₂: Problem analysis: Identify, formulate, review research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

• PO₃: 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.

• PO₄: 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.

• PO₅: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.

• PO₆: 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.

• PO₇: Environment and sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate the knowledge of sustainable development and its need.

• PO₈: Ethics: Apply ethical principles and commit to professional ethics, responsibilities, and norms of the engineering practice.

• PO₉: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

• PO₁₀: 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 documentation, make effective presentations to give and receive clear instructions.

• PO₁₁: Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s work, as a member and leader in a team, to manage projects in multidisciplinary environments.

• PO₁₂: Life-long learning: Recognize the need for, and have the zeal and ability to engage in independent and life-long learning in the broadest context of technological change.

• PSO₁:Ability to analyse, interpret, and develop algorithms in the areas related to Artificial Intelligence, Machine Learning, Robotics, Neutral Networks, Big data Analytics, Virtual reality, Natural Language Processing and Internet of Things.

• PSO₂:Develop the ability to evolve and adapt as per the new challenges in Artificial Intelligence and Machine Learning.

• PSO₂:Develop and apply Artificial Intelligence Techniques to perform human intelligence tasks such as vision, Natural language processing, face and speech recognition.

• Teach students the basic principles that underlie modern computational technology

• Help students apply their knowledge of computer science to the solutions of the problems arising in various disciplines

• Enhance students’ ability to communicate ideas clearly and concisely

• Familiarise students with current technological trends and breakthroughs in computer science, such as machine learning

• Encourage students to participate in national and international events in the field

• Transform the department and its students into a multidisciplinary stream where students can collaborate with other departments for research

• Strive to become a centre of excellence in the discipline

• Encourage students to take up entrepreneurship in the field

• Widen the scope of the faculty by helping them pursue cross-discipline research topics like robotics and machine vision

• Expand current capabilities of research centre and laboratories

• Well-ventilated class and tutorial rooms equipped with multimedia projectors.

• Laboratories with advanced equipment and sophisticated software.

• Departmental library

• Smart classrooms

• Video capturing classrooms

CSE(AI&ML) Engineers have a wide range of job opportunities such as Software Engineer, IT Manager, Software Tester, Application Developer, Web Designer etc. After completion of graduation, one may pursue further studies like M.Tech, M.E.The department of CSE(AI&ML) in association with the department of placement and training enables the placement process by moulding the students with good behaviour, right attitude and making them industry-ready. We provide pre-placement training such as technical, aptitude, reasoning, seminars, and technical talk which augment the student qualities such as soft, interpersonal, communication, and presentation skills.

• Pass in PUC/10+2 Examination with Physics and Mathematics as compulsory subjects along with one of the chemistry/Computer science/ Electronics/Technical vocational subjects and obtained at least 45% marks (40% in case of candidate belonging to SC/ST category) in the above subjects taken together of any Board recognized by the respective State Governments / Union Territories or any other qualification recognized as equivalent there to. Once the CET / COMEDK exams (entrance exam) get over, aspiring students would be able to assess their performance and seat allotment possibilities to the college of their preference. There would be acceleration in the admission process under Management Quota after the exams. To be assured the seat under Management Quota, it is necessary to secure the seat early by complying with the terms and conditions.