Artificial Intelligence and Data Science

Vision

"Evolve as a premier centre of excellence in Artificial Intelligence and Data Science education, research, and innovation, empowering graduates to lead with cutting-edge technical competence, ethical values, and societal impacts"

Mission

• M1: Provide highquality education in Artificial Intelligence & Data Science through innovative and engaging teachinglearning methods, leveraging stateoftheart infrastructure, cuttingedge tools, and wellequipped laboratories.
• M2: Develop competent professionals in AI & DS by instilling employability, leadership, and communication skills, while emphasizing social responsibility, ethical values, and the ability to solve complex realworld problems.
• M3: Create a holistic and collaborative learning environment that fosters scientific thinking, nurtures ethical values, and strengthens teamwork to empower students to meet the challenges of the AI & DS domain.
• M4: Conduct impactful research in AI, Data Science, and Machine Learning to address technological and engineering challenges, contributing to the advancement of both industry and society.

Technical Excellence

PEO 1: Apply foundational knowledge of AI, Data Science, and engineering to develop innovative solutions for real-world problems, demonstrating competency in modern technologies and tools.

Research and Problem Solving

PEO 2: Pursue advanced research and contribute to technological innovations in AI and Data Science, equipped with critical thinking and problem-solving skills to address both industry and societal needs.

Ethical Leadership and Professional Growth

PEO 3: Exhibit leadership skills, ethical values, and a commitment to lifelong learning, demonstrating effective communication, teamwork, and professionalism in the rapidly evolving field of AI & DS.

Engineering Knowledge

PO 1: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization to develop solution of complex engineering problems.

Problem Analysis

PO 2: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development.

Design/Development of Solutions

PO 3: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for public health and safety, culture, society and environment.

Conduct Investigations of Complex Problems

PO 4: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions.

Engineering Tool Usage

PO 5: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modeling recognizing their limitations to solve complex engineering problems.

The Engineer and The World

PO 6: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment.

Ethics

PO 7: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws.

Individual and Collaborative Teamwork

PO 8: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.

Communication

PO 9: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences.

Project Management and Finance

PO 10: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one's own work, as a member and leader in a team, and to manage projects in multidisciplinary environments.

Life-Long Learning

PO 11: Recognize the need for, and have the preparation and ability for independent and life-long learning, adaptability to emerging technologies, and critical thinking in the broadest context of technological change.

AI & Data Science Solutions

PSO 1: Demonstrate proficiency in Artificial Intelligence, Machine Learning, and Data Science techniques to develop, analyze, and deploy AI systems and data-driven solutions across diverse industries like healthcare, finance, e-commerce, and more.

Data-Driven Decision Making

PSO 2: Utilize data collection, preprocessing, visualization, and predictive modelling techniques to convert big data into actionable insights and support data-driven decision-making in business and engineering contexts.

Ethical and Sustainable AI

PSO 3: Apply ethical principles and social responsibility in the development and deployment of AI systems, ensuring the creation of sustainable, fair, and transparent solutions that positively impact society.