VISION

To establish a centre of excellence by nurturing Artificial Intelligence and Data Science engineers through continuous education, research, and industrial collaboration to serve the needs of society.

MISSION

By providing a nurturing environment together with competent human resources in order to develop a diverse pool of skilled Artificial Intelligence and Data Science engineers who uphold professional readiness for the industry.

1. By providing state‑of‑the‑art facilities and cutting‑edge technology, we create an optimal learning and research environment, enhancing the capabilities of our Artificial Intelligence and Data Science students and faculty.
2. By providing avenues for industry partnerships and research collaborations, we facilitate practical experience and innovation, enabling our students to address real‑world challenges in Artificial Intelligence and Data Science.
3. By providing a strong foundation in professional ethics and commitment to social responsibility, we equip our students with the values needed to make a positive societal impact as industry‑ready professionals in the field of Artificial Intelligence and Data Science.

PROGRAMME EDUCATIONAL OBJECTIVES (PEOs)

• PEO 1: Develop the next generation of highly skilled graduates equipped with a strong knowledge in Artificial Intelligence and Data Science for creating innovative solutions to society’s pressing challenges.
• PEO 2: Motivate students to pursue higher studies in various disciplines of Artificial Intelligence and Data Science with an aim of cherishing careers in research and development, academia, industry, and entrepreneurship.
• PEO 3: Produce engineers who are professional entrepreneurs and capable of self‑learning to excel in their careers.
• PEO 4: Prepare graduates who excel in diverse teams upholding professional ethics and societal responsibilities.

PROGRAM OUTCOMES (PO)

PO 1 – Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO 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.

PO 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, cultural, societal, and environmental factors.

PO 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 information, to provide valid conclusions for complex problems.

PO 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.

PO 6 – 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.

PO 7 – Environment and sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of, and the need for, sustainable development.

PO 8 – Ethics: Apply ethical principles and commit to professional ethics, responsibilities, and norms of engineering practice.

PO 9 – Individual & team work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary settings.

PO 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.

PO 11 – 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.

PO 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.

PROGRAMME SPECIFIC OUTCOMES (PSO)

Graduates should be able to:

PSO 1: Evolve AI‑based efficient domain‑specific processes for effective decision‑making in several domains such as business and governance.

PSO 2: Arrive at actionable foresight, insight, and hindsight from data for solving business and engineering problems.

PSO 3: Create, select, and apply theoretical knowledge of AI and Data Analytics along with practical industrial tools and techniques to manage and solve complex societal problems.

PSO 4: Develop data analytics and data visualization skills, skills pertaining to knowledge acquisition, knowledge representation and knowledge engineering, and thereby be capable of coordinating complex projects.

PSO 5: Carry out fundamental research to address critical needs of society through cutting‑edge technologies of Artificial Intelligence.