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Under Graduate Courses

B.E Computer Science and Engineering

The department of Computer Science's mission is to progress, evolve and improve Computer Science and Engineering fundamentals to develop the intellectual core of society. Computer Science and Engineering have exciting growth opportunities driven by the development of technology and its recognition by excellence.


Computer Science and Engineering was established in the year2008. The fundamental goal of the stream is to provide our students with the best IT infrastructure, research environment, world-class learning. We ensure to adopt industry practices with industry collaborations and instil moral and ethical values. The willingness of the students to learn makes it simpler for the industry-trained qualified staff to produce top-notch engineers, who are hired by industry-leading companies.


EASA College of Engineering & Technology has proactively designed the Computer Science and Engineering programme, which offers in-depth study and analytics of cutting edge technologies. The curriculum covers important subjects dealing with the latest hardware and software, with due emphasis on research projects and laboratory work that is required for academics, research and the industrial field. Students are also provided with access to various journals, computing facilities for their project works. Regular interaction with software companies has allowed us in maintaining a syllabus on par with technology and industrial standards. The meticulous learning environment has made our students job-ready.


Students gain deep insight into the following subjects on pursuing this course,
  • Data Structures
  • Object Oriented Programming
  • Computer Architecture
  • Database Management Systems
  • Programming in C and Python Programming
  • Operating Systems
  • Computer Networks
  • Cryptography and Network Security
  • Cloud Computing
  • Computer Graphics and Multimedia
Add on certificate courses available from second year:
  • Cyber security
  • Block chain
  • Animation
  • Big Data
  • Cloud Computing
  • Artificial Intelligence
  • Data Science
  • Robotics

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