Computer Science and Engineering


The Department of Computer Science and Engineering was established in the year 2002 with the mission to educate students from all over India, including those from rural areas, so that they become enlightened individuals, improving living standard for their family, industry and society. In 2002, the department is started with B. Tech of single batch with sanctioned intake of 60 students. In 2014, department is grown up with the sanctioned of 120 students of 2 batches. One of the most sought after courses amongst engineering students, Computer Science and Engineering (CSE) is an academic programme which integrates the field of Computer Engineering and Computer Science. The programme, which emphasises the basics of computer programming and networking, comprises a plethora of topics. The said topics are related to computation, algorithms, programming languages, program design, computer software, computer hardware, etc.

Computer Science Engineers are involved in many aspects of computing, from the design of individual microprocessors, personal computers, and supercomputers to circuit designing and writing software that powers them.

Computer Science engineering students study design, implementation, and management of information systems of both software and hardware processes.

The Department emphasizes close interactions between the students and the faculty members who are dedicated to education and actively engaged in participation that enriches the educational programs. INFOSYS CAMPUS CONNECT PROGRAM is one among the prominent industrial relation program maintained for last few years. Department has MoUs with different companies and various Industry Interaction activities.

The Department offers B.Tech and M.Tech programmes in Computer Science and Engineering stream which includes:

  • B.Tech in Computer Science and Engineering
  • M.Tech in Computer Science and Engineering
  • M.Tech in Cyber Security


Dr.U.Vijay Sankar

Professor & Head

Department of Computer Science and Engineering

Computer Science & Engineering is a relatively young discipline of research. Still, the first roots of computers — as machines that enhance our own thinking — go back more than a century. Alan Turing set the mathematical foundations of computing with the concept of Turing Machines. Turing was not only a brilliant theoretician, but also looked at very practical applications, such as for cryptanalysis (you might have watched the movie The Imitation Game); Turing is also considered a pioneer of Artificial Intelligence, an area that has gained much attention recently, not only within the research community, but also in the daily news. Think about self-driving cars, AI-driven medical diagnostics and personal health, face identification, or natural language understanding. John von Neumann was a brilliant mathematician, who developed the concepts of cellular automata, the universal constructor, and was a pioneer in digital computer architecture. We are still talking about the von Neumann architecture as the forefather of modern chips, which are now at the heart of our modern-time computers: think of smart phones, tablets, or smart watches. It should also be noted that many women have contributed to the discipline of computing and algorithmic machines such as Ada Lovelace, Grace Hopper, Frances E. Allan, and many, many more (see, for example, for more details: Women in computing - Wikipedia)

So, even looking back at the origins of computers, Computer Science always had the aspiration to go way beyond “coding”. It has always been more than just writing programs to make machines perform algorithms. Computer Scientists are problem solvers. Computer Scientists create communities. We help to build the infrastructures for social networks; we also work on solutions to protect our personal data; make data communication secure across a wide variety of “communication networks”; we build solutions to visualize information; we work on tools that help to make decisions by asking smarter questions, and bring more and more data into our decision making.

With computers — as smart tools to help us think — we have to rely less on guessing. We can support our decisions by data. This is becoming more and more important in our increasingly digital economies. Hence, Data Science is a new area of research where we use computational tools to gather data, filter them, separate noise from useful information, and create knowledge — from which we can make better decisions and build smarter, enabling tools for our daily lives and to support our professional endeavor’s.

Join us, and become an ambassador of Computer Science & Engineering. Learn more about Computer Science as a student; we love to share our passion with you. Learn how to not only use computational tools, but how to work in teams, share ideas, present, communicate — in short, join creative teams that make a positive difference.

Work with us if you are an entrepreneur or partner with us to enhance our digital economy, or let us help you solve challenges in your industry.

Following our Faculty of Computer Science & Engineering motto “Curiosity Drives Discovery”, we as Computer Scientists create computational “Discovery Tools” and “Think Tools”.

Welcome to our new innovative world.


Producing Highly Competent, Innovative and Ethical Computer Science and Engineering Professionals to facilitate continuous technological advancement.


  • 1: To impart Quality Education by creative Teaching Learning Process.
  • 2: To promote cutting-edge Research and Development Process to solve real world problems with emerging technologies.
  • 3: To inculcate Entrepreneurship Skills among Students.
  • 4: To cultivate Moral and Ethical Values in their Profession.


  • PEO 1: Graduates will be able to Work and Contribute in the domains of Computer Science and Engineering through lifelong learning.
  • PEO 2: Graduates will be able to Analyze, design and development of novel Software Packages, Web Services, System Tools and Components as per needs and specifications.
  • PEO 3: Graduates will be able to demonstrate their ability to adapt to a rapidly changing environment by learning and applying new technologies.
  • PEO 4: Graduates will be able to adopt ethical attitudes, exhibit effective communication skills, Team work and leadership qualities.


Engineering Graduates will be able to:

  • PO 1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • PO 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.
  • PO 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.
  • PO 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.
  • PO 5. 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.
  • PO 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.
  • PO 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.
  • PO 8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • PO 9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • PO 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.
  • PO 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 multidisciplinary environments.
  • PO 12. Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.


  • PSO 1: Ability to Formulate and Simulate Innovative Ideas to provide software solutions for Real-time Problems and to investigate for its future scope.
  • PSO 2: Ability to learn and apply various methodologies for facilitating development of high quality System Software Tools and Efficient Web Design Models with a focus on performance optimization.
  • PSO 3: Ability to inculcate the Knowledge for developing Codes and integrating hardware/software products in the domains of Big Data Analytics, Web Applications and Mobile Apps to create innovative career path and for the socially relevant issues.

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