CSE(AI)

VISION:

To promote quality education with industry collaboration and to enable students with intellectual skills to succeed in globally competitive environment.

MISSION:

To educate the students with strong fundamentals in the areas of Artificial Intelligence and Data Science.

Provide multi-disciplinary research and innovation driven academic environment to meet the global demands.

Foster the spirit of lifelong learning in students through practical and social exposure beyond the classroom.

Programme Educational Objectives (PEO)

Program Educational Objectives describe the career and professional accomplishments in five years after graduation that the program is preparing graduates to achieve.

• Graduates will have solid basics in Mathematics, Programming, Machine Learning, Artificial Intelligence and Data Science Fundamentals and Advancements to solve technical problems.
• Graduates will have the capability to apply their acquired knowledge and skills to solve the issues in real world Artificial Intelligence and Data Science sectors and to develop feasible and viable systems.
• Graduates will have the potential to participate in life-long learning through professional developments for societal needs with ethical values.

Programme Outcomes (POs)

Program Outcome describes the knowledge, skills and attitudes the students should have at the end of a four year engineering program.

Engineering Graduates will be able to:

• 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 of 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 to 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 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.
• Lifelong learning: Recognize the need for and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change.

Programme Specific Outcomes (PSOs)

Program Specific Outcomes are statements that describe what the graduates of a specific engineering program should be able to do.

• Ability to implement innovative, cost effective, energy efficient and eco-friendly integrated solutions for existing and new applications using Internet of Things.
• Graduates will possess the additional skills in network security and IT infrastructure in Cyberspace
• Develop, test and maintain software system for business and other applications that meet the automation needs of the society and industry

HOD Message

Dr. Balajee J

HOD

The Department of Artificial Intelligence was established in the year 2024 with the vision to meet the growing demand for skilled AI professionals across industries. Starting with an initial intake of 60 students, the department quickly gained popularity due to its forward-looking curriculum, expert faculty, and strong industry connections. Recognizing the immense interest and career potential in AI, the intake capacity was expanded to 180 seats in 2025, reflecting the department’s rapid growth and academic excellence.

The Department of Artificial Intelligence was established with a vision to equip students with deep expertise in AI and its real-world applications. Our curriculum is designed to provide a solid foundation in mathematics, programming, machine learning, data science, deep learning, computer vision, and natural language processing, along with industry-oriented electives and projects.

We combine rigorous academic learning with hands-on training, ensuring our students graduate as competent AI engineers who can solve complex problems across domains like healthcare, robotics, finance, transportation, cybersecurity, and beyond.

Our faculty comprises experts with significant research and industry experience, guiding students through innovative coursework, research projects, hackathons, and internships.

CSE(AI) LAB

CSE(AI) STUDENTS ASSOCIATION