Program Educational Objectives (PEOs):

• PEO1:Students will have strong foundation In Basic Science, Mathematics, Statistics, Computer Science and Allied engineering.
• PEO2 :Students will develop Data Science applications at advanced level for employability in IT industry especially in niche technologies.
• PEO3 :Students will be provided with strong foundation in Data Science and its applications for their carrier as Data Scientist/Data Engineers.

Program Specific Outcomes (PSOs):

• PSO1: Professional Skills: The ability to apply knowledge of Data Science in real-time software project development using open-source and commercial programming environment to deliver quality software product for the organization’s success.
• PSO2: Problem-Solving Skills: The ability to acquaint with the current trends in industrial/research areas and there by innovate through novel solutions to the existing problems.

Program Outcomes (POs):
Engineering Graduates will be able to:

• 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 solutions to 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 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 and interpretation of data to provide valid conclusions. (WK8)
• PO5: Engineering Tool Usage:
  Create, select and apply appropriate techniques, resources and modern engineering and IT tools, including prediction and modelling, recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
• PO6: The Engineer and the World:
  Analyze and evaluate societal and environmental aspects while solving complex engineering problems for their impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7)
• PO7: Ethics:
  Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national and international laws. (WK9)
• PO8: Individual and Collaborative Team Work:
  Function effectively as an individual, and as a member or leader in diverse and multi-disciplinary teams.
• PO9: Communication:
  Communicate effectively and inclusively within the engineering community and society at large, including the ability to comprehend and write effective reports and design documentation, and 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 to one’s own work, as a member or leader in a team, and to manage projects 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,
  iii) critical thinking in the broadest context of technological change. (WK8)

CSE-Data Science-COs and Articulation Matrices-2025-26 EVEN-Semester – view

CSE-Data Science-Course Outcomes-2025-26 ODD-Semester – view

CSE-Data Science-Course Outcomes-2024-25 EVEN-Semester – view

CSE-Data Science-Course Outcomes-2024-25 ODD-Semester – view

CSE-Data Science-Course Outcomes-2023-24 EVEN-Semester – view

CSE-Data Science-Course Outcomes-2023-24 ODD-Semester – view

CSE-Data Science-Course Outcomes-2022-23 EVEN-Semester – view

CSE-Data Science-Course Outcomes-2022-23 ODD-Semester – view

CSE-Data Science-Course Outcomes-2021-22 – view