CSE (Data Science)

  • Intake : 120

  • Duration : 4 Years

Department

About The Department

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.
To prepare graduates who are able to :
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 knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.
PO2. Problem analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
PO3. Design/development of solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)
PO4. Conduct investigations of complex problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8)
PO5. Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 to WK6)
PO6. The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5 & WK7)
PO7. Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
PO8. Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
PO9. Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences
PO10. Project management and finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
PO11. Life-long learning: Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)
WK1. A systematic, theory-based understanding of the natural sciences applicable to the discipline and awareness of relevant social sciences.
WK2. Conceptually-based mathematics, numerical analysis, data analysis, statistics and formal aspects of computer and information science to support detailed analysis and modelling applicable to the discipline.
WK3. A systematic, theory-based formulation of engineering fundamentals required in the engineering discipline.
WK4. Engineering specialist knowledge that provides theoretical frameworks and bodies of knowledge for the accepted practice areas in the engineering discipline; much is at the forefront of the discipline.
WK5. Knowledge, including efficient resource use, environmental impacts, whole-life cost, re-use of resources, net zero carbon, and similar concepts, that supports engineering design and operations in a practice area.
WK6. Knowledge of engineering practice (technology) in the practice areas in the engineering discipline.
WK7. Knowledge of the role of engineering in society and identified issues in engineering practice in the discipline, such as the professional responsibility of an engineer to public safety and sustainable development.
WK8. Engagement with selected knowledge in the current research literature of the discipline, awareness of the power of critical thinking and creative approaches to evaluate emerging issues.
WK9. Ethics, inclusive behavior and conduct. Knowledge of professional ethics, responsibilities, and norms of engineering practice. Awareness of the need for diversity by reason of ethnicity, gender, age, physical ability etc. with mutual understanding and respect, and of inclusive attitudes.
Graduates will be able to :
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