Vision and Mission of Programme

Vision Statement:

To lead in the field of Data Science by cultivating skilled, knowledgeable and ethical professionals who contribute to societal progress.

Mission Statement:

M1	To create globally competent students who are capable of designing, developing, and testing software in alignment with latest technological innovations.
M2	To imbibe ethical and social values among students.
M3	To promote the use of modern tools for the development of data science-driven applications that benefit society, while enhancing employability and fostering entrepreneurial skills.

Program Educational Objectives (PEOs)

PEO1	To provide fundamentals, logical, statistical and scientific principals underlying computing and information processing.
PEO2	To provide professional and ethical attitude, soft skills, multidisciplinary approach and ability to relate engineering issues to broader social context.
PEO3	To develop expertise in Data Science field this will deliver technically feasible and socially acceptable solutions to real-world problems while adhering to ethical norms.

Program Specific Outcomes (PSOs)

PSO1	Develop and exhibit skills in emerging area of data science.
PSO2	Design and Develop applications of data science for solutions of real life problems.

Program Outcomes (POs)

1. 1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization for the solution of complex engineering problems.
2. 2. Problem analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
3. 3. 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 public health and safety, and cultural, societal, and environmental considerations.
4. 4. 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.
5. 5. 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.
6. 6. 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.
7. 7. 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.
8. 8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
9. 9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
10. 10. Communication: Communicate effectively on complex engineering activities with the engineering community and with the 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.
11. 11. 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.
12. 12. 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.