Computer Science & Engineering ( Data Science ) PEO/PO’s

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Department of Computer Science and Engineering (Data Science)

Vision of the Institute

To become a leading Institute in Technical education fostering innovation, research, ethical values, and sustainable development for the betterment of society.

Mission of the Institute

To impart high quality Technical Education through:

  • M1. Innovative and Interactive learning process and high quality, globally recognized instructional programs.
  • M2. Fostering a collaborative scientific temper among students with ethical responsibility towards the society.
  • M3. Preparing students from diverse backgrounds to have aptitude for employment, entrepreneurship and research with a spirit of Professionalism.
  • M4. To contribute to nation’s sustainable development.

Vision of the Department

To provide cutting-edge Computer Engineering education in Data Science while instilling socio-moral values.

Mission of the Department

  • M1 To deliver state-of-the-art ICT-enabled teaching and learning to achieve excellence in Data Science education.
  • M2 To develop professionally competent Data Science Engineers, meeting evolving industrial and societal needs.
  • M3 To prepare employable professionals with ethical values and a commitment to professional and social responsibility.

Program Educational Objectives (PEOs) of the Department

  • PEO1 Graduates will achieve proficiency in Data Science and pursue lifelong learning to advance as professionals, entrepreneurs, and leaders.
  • PEO2 Graduates will operate effectively in diverse, dynamic professional and cultural environments, respecting societal perspectives.
  • PEO3 Graduates will demonstrate ethical values and social responsibility in their professional and personal lives.

Program Specific Outcomes (PSOs)

  • PSO 1 Apply programming concepts, algorithms, data structures to develop data driven software and Web solutions.
  • PSO 2 Develop Intelligent Solutions using Machine Learning, data analysis and cloud technologies for Practical Problem-solving.