Artificial Intelligence & Data Science (AI&DS)

About the Department

The Department of Artificial Intelligence & Data Science is committed to delivering high-quality education and advanced technical knowledge in emerging technologies. Established with modern infrastructure, the department provides a strong foundation in AI, data analytics, and intelligent systems, preparing students to meet industry demands.

The department is equipped with well-established, fully air-conditioned computer laboratories featuring state-of-the-art infrastructure. Students have access to laboratories round the clock, enabling continuous learning and hands-on experience. The labs are furnished with high-performance systems from leading brands such as HP, Dell, and Acer, along with dedicated servers to support advanced computing requirements.

All laboratories are supported by structured networking facilities including Wi-Fi, LAN (CAT6), fibre connectivity, and the latest software tools. The infrastructure is regularly upgraded to ensure students have access to the most current technologies and resources for academic and research excellence.

DEPARTMENT VISION

To become a Centre of Excellence in Artificial Intelligence and Data Science through ethical innovation, research, and societal impact.

DEPARTMENT MISSION

To provide a strong academic foundation in AI and Data Science through hands-on learning, real-world applications, and interdisciplinary research.
To foster innovation, ethical values, lifelong learning, and social responsibility among students.
To build strategic partnerships and empower students as competent professionals and entrepreneurs in emerging AI domains.

PROGRAM EDUCATIONAL OBJECTIVES (PEOs)

PEO -1

Graduates will establish a strong foundation in Artificial Intelligence, Data Science, and allied computing domains to solve real-world problems through analytical thinking, technical proficiency, and innovation.

PEO -2

Graduates will pursue advanced studies, research, or successful careers in industry, academia, or entrepreneurship, demonstrating leadership, ethical responsibility, and continuous learning.

PEO -3

Graduates will apply AI and data-driven solutions to address societal and environmental challenges, contributing responsibly to global and interdisciplinary teams.

PROGRAM SPECIFIC OUTCOMES (PSOs)

PSO-1

Basic Engineering Knowledge : Graduates will be able to apply principles of Artificial Intelligence, Machine Learning, Deep Learning, and Data Science to analyze complex problems and develop intelligent systems across various domains.

PSO-2

Basic Engineering Knowledge :Graduates will be able to apply principles of Artificial Intelligence, Machine Learning, Deep Learning, and Data Science to analyze complex problems and develop intelligent systems across various domains.

PSO-3

Research Skill : Graduates will design AI solutions with a strong sense of ethics, fairness, and social responsibility, considering data privacy, sustainability, and the broader impact of technology on society.

PROGRAM OUTCOMES (POs)

PO-1

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

PO-2

Problem analysis: Identify, formulate, research literature, and analyze engineering problems to arrive at substantiated conclusions using first principles of mathematics, natural, and engineering sciences.

PO-3

Design/development of solutions: Design solutions for complex engineering problems and design system components, processes to meet the specifications with consideration for the public health and safety, and the cultural, societal, and environmental considerations.

PO-4

Conduct investigations of complex problems: Use research-based knowledge including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO-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.

PO-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.

PO-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.

PO-8

Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO-9

Individual and team work: Function effectively as an individual, and as a member or leader in teams, and in multidisciplinary settings.

PO-10

Communication: Communicate effectively with the engineering community and with society at large. Be able to comprehend and write effective reports 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. Manage projects in multidisciplinary environments.

PO-12

Life-long Learning:Recognize the need for and engage in independent and life-long learning in the broadest context of technological change.

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To provide a strong academic foundation in Artificial Intelligence and Data Science through effective teaching, practical learning, and industry-oriented curriculum.

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To promote hands-on learning, interdisciplinary research, and real-world problem-solving skills in emerging AI technologies.

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To foster innovation, creativity, and entrepreneurial abilities for developing sustainable and intelligent solutions to societal challenges.

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To inculcate ethical values, professional responsibility, lifelong learning, and awareness of the social impact of AI and Data Science.

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To strengthen collaboration with industries, research institutions, and professional bodies for knowledge sharing and skill development.

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To equip students with technical, communication, and leadership skills to become competent professionals and responsible contributors to society.