Program Educational Objectives (PEOs)

PEO Description
PEO1 Graduates will utilize their foundational knowledge in basic sciences, mathematics, Artificial Intelligence, data science, and statistics to design and build systems for managing and analyzing large volumes of data.
PEO2 Advance their technical skills to conduct pioneering research in AI and Data Science, creating disruptive and sustainable solutions to address critical challenges in ecosystems and various domains.
PEO3 Think logically, engage in lifelong learning, collaborate ethically within multidisciplinary teams, and contribute innovative ideas to drive economic growth.

Program Outcomes (POs)

PO Description
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 the 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 contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice.
PO7 - Environment and sustainability Understand the impact of 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 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 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.

Program Specific Outcomes (PSOs)

PSO Description
PSO1 Utilize foundational knowledge in AI, data science, and statistics to design efficient, domain-specific processes for effective decision-making in areas such as business, governance, and various industries.
PSO2 Apply AI and data analytics to extract insights from data, create disruptive solutions, and address complex societal, environmental, and engineering challenges using cutting-edge technologies.
PSO3 Develop skills in data analytics, knowledge engineering, and visualization to manage complex projects, collaborate in multidisciplinary teams, and continuously contribute to economic and societal progress through innovative solutions.