The Programme Educational Objectives of B. Tech (Artificial Intelligence and Data Science) are listed below:

PEO-1: Our Graduates are competent in building intelligent machines, software, or applications with a cutting-edge combination of machine learning, analytics and visualisation technologies to identify new opportunities.

PEO-2: Our Graduates adapt the new technologies and develop the solutions to realworldproblemswithethicalpracticestoenhancetheirownstaturetocontributesociety.

PEO-3: Our Graduates thrive to continuing education for fulfilling their lifelong goals and satisfaction and successful professionals in industry, government, academia, research and consultancy.

• Engineering Graduates will be able to:
• PSO1: Applythefundamentalknowledgetodevelopintelligentsystemsusingcomputationalprinciples, methods and systems for extracting knowledge from data to identify, formulate andsolve real-time problemsandsocietalissuesfor the sustainable development.
• PSO2: Enrich the irabilities to qualify for Employment, Higherstudies and Research in Artificial Intelligence and Data science with ethical values.

Engineering Graduates will be able to: 
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 anddesignsystemcomponentsorprocessesthatmeetthespecifiedneedswithappropriateconsideration 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 modelling 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 laddering team, to manage projects and in multi disciplinary environments.
12. Life-long learning: Recognize the need for, and have the preparation and ability to engageinindependentandlife-longlearninginthebroadestcontextoftechnologicalchange.