Our vision is to emerge as the pinnacle of research and learning in the field of Computer Scienceand Artificial Intelligence, yield top professionals with a predominant skillset, excellent leadershipqualities, and a pledged commitment to society.

• To produce and nurture quality engineers in the field of Computer Science and Artificial Intelligence with sound knowledge in state-of-the-art technology across various disciplines.
• To strengthen our graduates and gear them up to face the real-world challenges by creating an ambience to move towards innovation and its accomplishment through digital thinking.
• To induce social responsibilities and Human Values in our graduates.

The graduates will:

• Be experts in the field of Computer Science and Artificial Intelligence with sound knowledge and hands-on experience in the latest tools, excellent problem-solving skills, along with astrong desire to learn and update themselves and be able to devise the best solutions for all the engineering problems they encounter.
• Develop the ability to associate and work in teams, have profound communication skills and exceptional leadership skills that benefit them to grow as leaders or entrepreneurs.
• Be committed to society, responsible to take care of the needy, and behold personal and professional ethics in all their endeavors.

1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialisation to the solution of complex engineering problems.
2. Problem analysis: Identify, formulate, review research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, naturalsciences, and engineering sciences.
3. 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.
4. Conduct investigations of complex problems: Use research-based knowledge and researchmethods including design of experiments, analysis and interpretation of data, and synthesis of theinformation to provide valid conclusions.
5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modernengineering and IT tools including prediction and modeling to complex engineering activities with anunderstanding of the limitations.
6. The engineer and society: Apply reasoning informed by the contextual knowledge to assesssocietal, health, safety, legal and cultural issues and the consequent responsibilities relevant to theprofessional engineering practice.
7. Environment and sustainability: Understand the impact of the professional engineeringsolutions in societal and environmental contexts, and demonstrate the knowledge of, and need forsustainable development.
8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and normsof the engineering practice.
9. Individual and team work: Function effectively as an individual, and as a member or leader indiverse teams, and in multidisciplinary settings.
10. Communication: Communicate effectively on complex engineering activities with theengineering community and with society at large, such as, being able to comprehend and write effectivereports and design documentation, make effective presentations, and give and receive clear instructions.
11. 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 ina team, to manage projects and in multidisciplinary environments.
12. Life-long learning: Recognise the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Our graduates shall

• Understand the fundamentals and the functionalities of the hardware and software aspects of Computer Science and Artificial Intelligence.
• Develop project development and computational knowledge skills using innovative tools and techniques to solve problems in the areas related to Computer Science andArtificial Intelligence.
• Have expertise in state-of-the-art technologies, excavate the possibilities of entrepreneurship, and also build optimal solutions to real-life problems.

Artificial Intelligence is a specialised field that explores the development of systems capable of learning, reasoning, and decision-making. The department provides a comprehensive programme that combines theoretical concepts like machine learning algorithms and neural networks with practical applications in robotics, predictive analytics, and natural language processing. Students are encouraged to innovate and explore ethical considerations of AI implementation. With access to high-tech labs and mentorship from experienced faculty, graduates are well-prepared for careers in AI-driven industries and research.

The curriculum includes foundational topics like programming and data structures, progressing to advanced areas such as deep learning, computer vision, and artificial neural networks. Students gain practical knowledge through AI labs, industry collaborations, and capstone projects focused on real-world problems. The programme also integrates courses on ethics in AI, preparing students to develop responsible and innovative solutions.