Introduction

Established in the academic year 2020-2021, our department offers a comprehensive undergraduate program, B.Tech Artificial Intelligence and Data Science. This program is designed to provide students with knowledge and expertise in the rapidly growing fields of Artificial Intelligence (AI) and Data Science (DS).

AI-DS are interdisciplinary branches of science, engineering, and technology that are revolutionizing various sectors of the technical industry, academia, and research. Our program focuses on equipping students with the necessary skills to create intelligent machines and develop real-world applications using data analytics and visualization technologies.Machine Learning (ML), a subset of AI, enables computers to think and act like humans, while Deep Learning, a subset of ML, allows machines to make decisions and think in a manner similar to humans. By integrating these technologies, our students gain a deep understanding of AI and DS principles, enabling them to tackle complex challenges and drive innovation.

The field of Data Science plays a vital role in today's business landscape. With the exponential growth of data, businesses rely on advanced Big Data Analytics, statistical analysis, data extraction, manipulation, visualization, and data maintenance to identify trends, interpret results, and predict future outcomes.Our curriculum prepares students to be at the forefront of this data-driven revolution, empowering them to excel in the industry.

Vision

To serve the society by transforming young minds and preparing them for a bright future.

Mission

To create a holistic educational experience for students focused on subject knowledge, problem solving, inquisitiveness, leadership, communication and team skills.
To nurture an environment committed to the free exchange of ideas where research, creativity, innovation, and entrepreneurship can flourish.
To impact society in a transformative way by getting engaged with the external collaborators.

Program Educational Objectives (PEOs)

Apply skills required to design and develop solutions applicable in real life situations.
Pursue successful and satisfying careers in the profession of their choice or enterprise.
Pursue higher studies in related fields from recognized institutions.

Program Specific Outcomes (PSOs)

Exhibit proficiency in the field of Artificial Intelligence by developing intelligent systems.
Be accomplished in the field of data analytics, statistical programming languages and Machine learning

Program Outcomes (POs)

PO_01 Engineering knowledge (EK)	Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO_02 Problem analysis (PA)	Identify, formulate, review research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO_03 Design/development of solutions (DS)	Design solutions for 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.
PO_04 Conduct investigations of complex problems (IP)	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.
PO_05 Modern tool usage (MT)	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_06 The engineer and society (ES)	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_07 Environment and sustainability (Env)	Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO_08 Ethics (Eth)	Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO_09 Individual and team work (ITw)	Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO_10 Communication (Cm)	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 (PM)	Demonstrate knowledge and understanding of the 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 (LL)	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.