M.E. – Computer Science & Engineering

About the Department

The department of M.E Computer Science & Engineering is a 2 year program to provide accelerated advanced industry focused learning. The department provides a platform of learning and practicing real time projects with its excellent lab facilities with latest softwares. With experienced staff from industrial background, the learning experience bridges the gap between academics and industry. Department faculty and students are encouraged for research and development to cope up with the modern trends in the field of computer science and Engineering. The department has futuristic plans to tie up with industries to mentor the students and equip them towards industry based learning.


To Produce Globally Competent Computer Engineers to meet the growing needs of the industry and society with moral values.


  • To provide strong theoretical foundation and extensive practical training
  • To provide state-of-the-art learning resources and to effectively work in teams with ethical and societal responsibility
  • To nurture capabilities for successful professionals by engaging in lifelong Learning.


  • Develop proficiency as a computer science engineer with an ability to solve a wide range of computational problems and have sustainable development in industry or any other work environment.
  • Analyze and adapt quickly to new environments and technologies, gather new information, and work on emerging technologies to solve multidisciplinary engineering problems.
  • Possess the ability to think analytically and logically to understand technical problems with computational systems for a lifelong learning which leads to pursuing research.
  • Adopt ethical practices to collaborate with team members and team leaders to build technology with cutting-edge technical solutions for computing systems
  • Strongly focus on design thinking and critical analysis to create innovative products and become entrepreneurs.


  • An ability to independently carry out research / investigation and development work to solve practical problems.
  • An ability to write and present a substantial technical report/document.
  • Students should be able to demonstrate a degree of mastery over the area of Computer Science and Engineering.
  • Efficiently design, build and develop system application software for distributed and centralized computing environments in varying domains and platforms.
  • Understand the working of current Industry trends, the new hardware architectures, the software components and design solutions for real world problems by Communicating and effectively working with professionals in various engineering fields and pursue research orientation for a lifelong professional development in computer and automation arenas.
  • Model a computer based automation system and design algorithms that explore the understanding of the tradeoffs involved in digital transformation.

Faculty Details

Designation: Professor & Head PG - Studies
Qualification: B.E, M.E, M.Sc, M.B.A, Ph.D, C.Eng.,D.Eng,
Experience: 19 Years
Designation: Assistant Professor
Qualification: M.E.,
Experience: 2 Years
Designation: Assistant Professor
Qualification: M.E.,
Experience: 2 Months

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