Computer Science & Engineering (Data Science)

  • INTAKE

    120

  • DURATION

    4 Years

Department

About The Program

Welcome to the new way of learning at the Department of Computer Science & Engineering (Data Science) in SAI VIDYA INSTITUTE OF TECHNOLOGY (SVIT), Bengaluru that promotes quality teaching learning process, creativity, innovation and employability.

The Department of Data Science offers BE in Computer Science and Engineering (Data Science) which is approved by AICTE and is affiliated to VTU, Belagavi from the academic year 2021-22. The exciting journey of the department in the emerging domain of Data Science started in the year 2021 offering an undergraduate B.E. program with an intake of 60 students. From 2022-23 the intake is increased to 120 students.

The department is equipping itself with well qualified teaching faculty with rich research, teaching and industrial experience and is committed to impart rigorous training to students to generate knowledge through the state-of-the-art concepts and technologies in Data Science , and transform the Department as a leader in imparting Data Science education and research.

The Department practices Outcome-Based Education (OBE) and has an adequate infrastructure with state-of-the-art laboratories and other supporting facilities to provide enhanced learning environment. The Department attracts the best of engineering aspirants from all over the country.

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.

Vision

To develop competent and socially responsible engineers in the domain of Data Science to architect Strong India and the world

Mission
  • To impart qualityand value-based education in the field of Data science
  • To promote research and innovation for complex engineering problems through multidisciplinary industrial collaborations to meet societal needs.
  • To create entrepreneurial environment to uplift values for the nation by solving real-time problems.
PEO1 : Serve as Data Science professional with proficiency in developing solutions to complex engineering problems.
PEO2 : Pursue higher education, research and preserve the essence of lifelong learning.
PEO3 : Exhibit high standards of social and professional ethics, entrepreneurship and leadership qualities.
PO1 : Engineering Knowledge - Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization 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 Investigation 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 modeling 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 & 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.
PSO1 : Demonstrate the knowledge and understanding of working principles, design, implement, test and evaluate the hardware and software components of a computer system.
PSO2 : Apply standard Software Engineering practices and strategies in software project development.
PSO3 : Demonstrate the knowledge of Discrete Mathematics, Data management and Data engineering.
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