The Department of Computer Science & Engineering is where curiosity, creativity and rigour meet. Students are encouraged to question, experiment and build — supported by a faculty team that runs regular workshops, hackathons and campus-wide technical events alongside the core curriculum. Beyond the university syllabus, the department layers on industry-aligned training so graduates step out job-ready: labs and course content are refreshed regularly to track the pace of change in software engineering, keeping students confident and skilled as they head into placements.
To be a center of excellence in Computer Science and Engineering, producing competent engineers capable of addressing real-world problems through innovation, ethics and lifelong learning.
Deliver a curriculum that balances strong fundamentals with emerging technologies.
Provide state-of-the-art laboratory and project infrastructure.
Foster industry collaboration through MOUs, internships and guest lectures.
Instil professional ethics, communication skills and a spirit of lifelong learning.
Professor & DEAN
Ph.DProfessor
Ph.DProfessor
Ph.DAssoc. Prof
Ph.DAssoc. Prof
Ph.DAssoc. Prof & Head of the Department
Assoc. Prof
Assoc. Prof
Ph.DAssoc. Prof
Assoc. Prof
Assoc. Prof
Assoc. Prof
Asst. Prof
Asst. Prof
Asst. Prof
Asst. Prof
Asst. Prof
Asst. Prof
Asst. Prof
Asst. Prof
Asst. Prof
Asst. Prof
Asst. Prof
Asst. Prof
Asst. Prof
Graduates will build successful careers in software engineering, IT services, or higher education.
Graduates will apply core computing principles to design and develop reliable software systems.
Graduates will demonstrate professionalism, ethics and effective communication in team environments.
Ability to design and develop software applications using modern programming languages and frameworks.
Ability to apply concepts of AI/ML, cloud computing and data engineering to solve domain-specific problems.
The B.Tech CSE programme has documented measurable outcomes that are based on the needs of the programme's stakeholders. The programme outcomes which are derived from ABET (Accreditation Board of Engineering and Technology) criteria are first drafted in the academic year 2011-12 and later revised in 2012-13. The programme outcomes that the department presently adapts to are as follows:
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 science 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 sustainability: Understand the impact of the professional engineering solutions in the 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.
Lifelong learning: Recognize the need for, and have the preparation and ability to engage in independent and lifelong learning in the broader context of technological change.
Course Outcomes (COs) are defined for every subject in the CSE curriculum and mapped to the Programme Outcomes and Programme Specific Outcomes above. They are published in each course's handout at the start of the semester and reviewed by the department's Board of Studies as part of the annual curriculum revision cycle.
Center of Excellence in Cloud Computing & AI, established in partnership with industry, supporting hands-on student projects and certification programmes (e.g. Microsoft, EduSkills/Google for Developers upskilling tracks).
EduSkills / Google for Developers
ACTIVEMicrosoft Upskilling Programme
ACTIVEAzure Cloud Workshops
ACTIVEStructured feedback on faculty performance is collected from students each semester through the department and consolidated by the IQAC as part of its quality-assurance cycle.