Department of Computer Science and Engineering
( Cyber Security )

About the Department

The Department of Computer Science and Engineering, established in 1998, has consistently upheld its commitment to quality education, academic excellence, and impactful research for community and industry needs. In 2024, the department is set to launch a new program, B.E. Computer Science and Engineering ( Cyber Security ), anticipating a significant contribution to emerging technology education.

The department currently offers the B.E. Computer Science and Engineering program, which has a long-standing record of producing top-performing students who achieve ranks in Anna University examinations. With the upcoming CYBER SECURITY program, the department aims to expand its horizons, preparing students for the rapidly advancing fields of Cyber Security.

Supported by an accomplished faculty team with diverse expertise, the department has consistently nurtured students to excel in their careers, both nationally and internationally. Faculty members actively engage in presenting and publishing research in reputed conferences and journals. The department also organizes seminars, workshops, and awareness programs, enriching the academic ecosystem.

The curriculum is crafted to instill critical thinking, innovation, and problem-solving skills in students, ensuring they are ready to tackle future challenges. With the introduction of the CS program, the department is poised to meet the growing demand for data security/ data safety experts, fostering a new generation of leaders in these transformative technologies.

Vision

  • To hone and empower students to become socially responsible cybersecurity leaders, dedicated to protecting digital rights and fostering a secure, ethical, and sustainable digital society through rigorous education, impactful research, and collaborative community initiatives.

Mission

  • Shape ethical cybersecurity professionals who champion digital rights and societal protection.
  • Deliver rigorous, industry-relevant training to ensure professional excellence in cybersecurity.
  • Drive innovative research to solve critical cybersecurity challenges for societal benefit.
  • Promote collaborative knowledge sharing and engagement within the cybersecurity community.
  • Contribute to a resilient and secure digital infrastructure for sustainable development.
  • Contribute to a trustworthy and sustainable Artificial Intelligence and Machine Learning ecosystem for long-term societal impact.

Programme Education Objectives (PEOs)

Graduates can

  • Apply their technical competence in computer science to solve real world problems, with technical and people leadership.
  • Conduct cutting edge research and develop solutions on problems of social relevance.
  • Work in a business environment, exhibiting team skills, work ethics, adaptability and lifelong learning.

Programme Outcomes (POs)

PO# Graduate Attribute

  • 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 sciences, 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 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.
  • 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.
  • 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.

Programme Outcomes (POs)

At the end of the program, the students will be able to:

The Students will be able to

● Exhibit design and programming skills to build and automate business solutions using cutting
edge technologies.
● Strong theoretical foundation leading to excellence and excitement towards research, to
provide elegant solutions to complex problems.

Name                    : –
Designation       : Assistant Professor & Head of the Deapartment
Qualification     :-
Experience         : –
Email                    : –
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Name                    : Mrs. Adelyn
Designation       : Assistant Professor
Qualification     : M.E CSE , M.Sc Software Engineering
Experience         : –
Email                    : –
Specialization   : –