S.No	Program Educational Objectives
PEO1	Graduates will attain a strong foundation in Basic Sciences, Engineering Sciences and fundamentals of mathematics through which they acquire knowledge and abilities to Possess confident professional Data Science skills to build powerful knowledge model to generate actionable insights, necessary for making data-driven decisions.
PEO2	Apply the structured statistical, mathematical methodology and visualization tools to make better trained professionals to cater the growing demand for data scientists, data analysts, data architects and data engineers in industry.
PEO3	Apply knowledge of disruptive areas of computer science and Data Science using modern tools to find solutions for the societal and complex problems with sensitivity towards health, safety, legal, environmental and sustainable issues which help them to be globally employable by using modern tools and techniques
PEO4	Problem solving for societal aspects, carrier enhancement by altering professional certifications, and Graduates will demonstrate lifelong learning in their profession and in pursuing higher studies.

S.No	Program Specific Outcomes
PSO1	Understand, analyze and develop innovative solutions for real world problems in industry and research establishments and Demonstrate data science expertise in giving long-term solutions to real-world challenges.
PSO2	Ability to choose or developing relevant Data science models and working with extensive data sets required to meet the industry’s growing demand for data scientists and engineers.
PSO3	Apply programming principles and practices for developing software solutions to meet future business and society needs to pursue higher studies in Data Science in world class universities and do to collaborative research to enrich the critical thinking skills in emerging technologies.

S.No	Program Outcomes
1.	Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
2.	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.
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 the public health and safety, and the cultural, societal, and environmental considerations.
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.	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.	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.	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.	Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
9.	Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings
10.	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.
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.	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.