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Vision, Mission, POs, PSOs, PEOs


To build expert data science professionals and researchers with multi-dimensional thinking capabilities in the field of data science and allied areas to address the Industrial and Societal challenges by providing comprehensive solutions.


  • To impart quality and value based education to contribute towards the development of Research and Innovation in the field of Data Science.
  • To develop a data-driven eco system by encouraging multi-disciplinary thinking that expands expertise in cutting-edge technologies and acquires professional ethics.
  • To build globally competent data science professionals and researchers.

Program Educational Objectives (PEOS)

PEO1: State-of-Art: Graduates will demonstrate their technical skills and competency in various fields using cutting edge technologies.

PEO2:  Career Perception:  Graduates will apply their knowledge by adopting Data Science tools and techniques to solve the real world problems.

PEO3: Life-long learning:  Graduates will engage in lifelong learning to excel in their profession with social awareness and responsibility.

Program Outcomes (POs):

PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and Artificial Intelligence and Data Science basics to the solution of complex engineering problems.

PO2: 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.

PO3: 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.

PO4: 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.

PO5: Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.

PO6: 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.

PO7: 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.

PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9: Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10: 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.

PO11: 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.

PO12: 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.

Program Specific Outcomes (PSO)

PSO1: Graduates should be able to handle structured, semi-structured and unstructured data to solve engineering and business problems using foresight, insight, and hindsight analysis in respective arenas.

PSO2: Graduates should be able to provide innovative and cognitive solutions with the help of data analytical skillset and emerging technologies.