Artificial Intelligence & Data Science

It is Established in the year 2020, the department of AI and DS has been set up with a goal of training students and conducting research in the fields of Artificial Intelligence & Data Science. The department consists of highly qualified faculty with doctoral degrees from the reputed institutes of India and abroad. The department aims to train the student as leaders in AI & DS with world class infrastructure, curriculum and comprehensive hands-on experience through industry connect programs. The goal of the department is to ensure the academic excellence in students with wide exposure of research and career opportunities. The ultimate goal is to nurture the academic excellence, industry exposure and outstanding career opportunities to our students.

Living in the age of information, technological advancements like Graphical Processing Units, Sensors, and Cloud storage have enabled us to capture information efficiently, process quickly and store it in large amounts. These advancements enhanced the applications of Machine learning and Neural Networks to a wide number of fields like Speech Technology, Computer Vision, Natural Language Processing, Robotics etc. The advancements in all these domains together created a transition from information systems into intelligent systems.
Data/information is a crucial aspect in AI systems, but the applications of data science is not confined to AI systems alone. It is widely used in Business analytics, Sports, and Health care sector. Since Artificial Intelligence and Data Science are interdisciplinary sciences, we at KLU have set up an exclusive department for AI & DS in pursuit of research, training and promotion of academic excellence in students.

Vision

To be a globally recognized centre of excellence in Al & Data Science for sustainable industrial growth and societal transformation.

Mission

To provide a holistic curriculum and conducive learning environment that cultivates analytical thinking, problem-solving, hands-on expertise, and a commitment to lifelong learning, shaping future-ready Al & Data Science professionals.
To foster Cutting-edge research and interdisciplinary collaborations, accelerating technological innovation in Al & Data Science.
To instil ethical Al practices, promoting responsible and sustainable technological advancements that contribute to industry growth and societal well-being.
To nurture entrepreneurial thinking, leadership skills. and industry collaborations, empowering graduates to become innovators, startup founders, and global Al leaders

PEO PEO Description
1 Practice engineering in a broad range of industrial, societal and real-world applications.
2 Pursue advanced education, research and development, and other creative and innovative efforts in science, engineering, and technology, as well as other professional careers.
3 Conduct themselves in a responsible, professional, and ethical manner.
4 Participate as leaders in their fields of expertise and in activities that support service and economic development throughout the world.
PO/PSO PO/PSO Description
PO1 Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.
PO2 Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
PO3 Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)
PO4 Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8).
PO5 Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
PO6 The Engineer and The World: 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. (WK1, WK5, and WK7).
PO7 Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
PO8 Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
PO9 Communication: 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
PO10 Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to ones own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
PO11 Life-Long Learning: Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)
PSO1 An ability to design and develop Artificial Intelligence technology into innovative products for solving real world problems.
PSO2 An ability to design and develop Data Science methods for analyzing massive datasets to extract insights by applying AI as a tool.
PSO3 An Ability to develop scalable, secure and ethical AI solutions for data-driven decision-making process optimization, and automation across domain.

Course

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