B.Tech CSE (Data Science) with academic support of IBM (4 Years)

Engineering Graduates will be able to:

• 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 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 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 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.

Programme Educational Objectives (PEOs)

• PEO1 - To prepare graduates to become proficient data scientists by providing a comprehensive understanding of data science concepts and techniques, including statistical analysis, machine learning, and data mining.
• PEO2 - To prepare graduates for successful careers in the field of data science by providing hands-on experience in using industry-standard tools and latest technologies.
• PEO3 - To develop graduates' critical thinking, problem-solving, and research skills to enable them to apply data science techniques to solve real-world problems and contribute to scientific research in the field of data science.
• PEO4 - To nurture graduates' personal and professional growth by instilling ethical values, leadership, effective communication, teamwork, and lifelong learning habits, to prepare them for leadership roles in the field of data science.

Programme Specific Outcomes (PSOs)

• PSO1 - Demonstrate a comprehensive understanding of data science concepts and techniques, including statistical analysis, machine learning, and data mining.
• PSO2 - Apply industry-standard tools and the latest technologies in data science to solve practical problems and perform data analysis effectively.
• PSO3 - Utilize critical thinking and problem-solving skills to apply data science techniques in solving real-world problems and contribute to scientific research in the field of data science.
• PSO4 - Demonstrate ethical values, effective communication, teamwork, leadership abilities, and a commitment to lifelong learning in the context of data science, preparing graduates for leadership roles in the field.