Established in 1988 with AICTE approval, the Computer Science and Engineering Department is committed to delivering high-quality education in the field of computer science and engineering and the holistic development of the students. Accredited by the National Board of Accreditation in 1998, the department facilitates the students' enrichment of their technical expertise under the guidance of a highly qualified, experienced and dedicated team of faculty members.

Vision

To be a leader in imparting advanced technical knowledge and skills in the field of Computer Science and Engineering with societal consciousness.

Mission

To offer programmes with state of art facilities in the field of Computer Science and Engineering.

To prepare the students to become globally competent by enhancing their skills to work in IT Industries and R & D organizations.

To prepare the students to have universal values and an ability to relate engineering issues with environmental consciousness to a broader social context.

To promote significant research in cutting-edge computing technologies.

Objectives

To achieve academic and technical excellence by equipping students with the skills and knowledge required to meet global industry standards and technological advancements.

To promote the growth of research capabilities, creative thinking, and analytical skills in computing and related disciplines, supporting academic and professional growth.

To specialize in cutting-edge areas of Computer Science and Engineering, including Artificial Intelligence, Machine Learning, Data Science, Cybersecurity, and to contribute significantly to the advancement of higher education and technology.

To actively participate in community outreach, extension programs, and collaborative projects, leveraging technology for the betterment of society.

PROGRAMME OFFERED

Regular - Full Time

B.Tech. Computer Science and Engineering

B.Tech. CSE (Artificial Intelligence & Machine Learning)

B.Tech. CSE (Cyber Security)

B.Tech. (Artificial Intelligence & Data Science)

(2 years) - Full time - M.Tech

(Part time / Full time) - Ph.D

specialization

AI Based Immersive Technologies

Artificial Intelligence & Machine Learning

Cyber Security

Artificial Intelligence & Data Science

Faculty of Architecture and Planning

Faculty of Engineering and Technology

Faculty of Computing Science and Applications

Faculty of Commerce

Faculty of Management Studies

Faculty of Science and Humanities

Committees

Controller of Examination

Department of Computer Science and Engineering

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