The Department of Computer Science and Engineering shall create professionally competent and socially responsible engineers capable of working in global environment.

1. Promote best practices in teaching-learning, with dedicated staff and supportive infrastructure to create technically competent engineers.
2. Inculcate ethical and cultural values, communication and Entrepreneurial skills
3. Provide exposure of tools and technologies necessary to pursue higher education and research.
4. Improve Industry-Institute relationship for mutual benefit

PEO1. Perform successfully in various technical and managerial roles.
PEO2. Communicate proficiently and work effectively in multi-disciplinary environments.
PEO3. Adapt to technological advancements by engaging in continuous learning towards professional excellence.
PEO4. Successfully pursue higher education and research in leading institutions.

Students graduating from the Department of Computer Science and Engineering will

PSO1.Apply algorithmic principles and computer science theory to perform complexity analysis in the modeling and design of computer, computer networks and computer-based systems using appropriate tools and techniques.
PSO2. Design efficient data models & databases for challenging applications.
PSO3. Demonstrate proficiency in design, development and testing software applications to comply with system specifications.

Engineering Graduates will be able to:

1. Engineering Knowledge: Apply the knowledge of mathematics, science, engineering, fundamentals, and an engineering specialization to the solution of complex engineering problems.
2. 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.
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 research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
5. Modern tool usage: Create, 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.
6. 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.
7. 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.
8. Ethics: Apply ethical principles and commit professional ethics and responsibilities and norms of the engineering practice.
9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
10. 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.
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 in a team, to manage projects and in Multi-disciplinary environments.
12. Lifelong learning: Recognise the need for, and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change.

Computer science programs typically centers primarily around theory and software, with only some hardware, upper division courses tend to allow a lot of freedom to specialize in software and theory related areas (e.g. algorithms, artificial intelligence, cryptography/security, graphics/visualization, numerical and symbolic computing, operating systems/distributed processing, software engineering).