The Department of Artificial Intelligence & Data Science was started in the year 2020 with a sanctioned intake strength of 60. With the advancement of Artificial Intelligence & Data Science, Students of Velammal I Tech are transformed to industry – ready professionals by building smart machines with cutting edge technologies like Machine Learning, Computer Vision, etc. The Department laboratories is equipped with well – established, interconnected computing resources to offer training in the required latest technology skills and also helps the students to meet their demands of the curriculum. The faculties of the Department are diligently working as a team to enhance the critical thinking abilities and problem solving skills of their students. Apart from imparting conventional technical education and a rich learning environment, emphasis is laid on co-curricular activities such as Seminars, knowledge sharing by Domain Experts, Value Added courses, Collaborative Learning with reputed Universities of India and Abroad. The curriculum covers primitive courses such as Machine Learning, Deep Learning, Data Science using R programming, Natural Language Processing, Big Data Analytics, etc.

VISION

• To create renowned and skilled engineers with creative ideas to compete in the emerging field of Artificial Intelligence and Data Science

MISSON

• To provide high-quality education on existing and evolving Artificial Intelligence and Data Science technology.
• To develop technologically superior students and prepare them as responsible engineers with human values.
• To train students as Artificial Intelligence Engineers, Data Scientists, Data Analysts, and Machine Learning Engineers, and to shape their future.
•  To enrich students with required skills for employability, entrepreneurship and pursuing higher studies.
• To encourage the students to implement innovative research and development ideas.

 Graduates can

• Utilize their proficiencies in the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, data science and statistics to build systems that require management and analysis of large volumes of data.
• Advance their technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.
• Think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team.
• Design and model AI based solutions to critical problem domains in the real world.
• Exhibit innovative thoughts and creative ideas for effective contribution towards economy building.

Graduates of Bachelor of Artificial Intelligence and Data Science will have the ability and capability to

PSO1 – Graduates will design and implement AI-driven solutions to extract actionable insights from data and support effective decision-making across diverse domains.

PSO2 – Graduates will integrate AI knowledge, data analytics, and modern tools to develop innovative and sustainable solutions for complex societal and industrial challenges.

PSO3 – Graduates will apply theoretical foundations of artificial intelligence and data analytics along with modern tools and techniques to solve real-world problems.

Engineering Graduates will be able to:

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 one’s 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)