Department of Artificial Intelligence & Data Science (AI&DS) at a Glance • Establishment Year: 2020–21 | Intake: 120
• Infrastructure: Modern smart classrooms, advanced AI & Data Science laboratories, high-performance computing facilities, high-speed internet, and digital learning resources.
• Curriculum: AICTE-approved, industry-oriented curriculum emphasizing Artificial Intelligence, Data Science, Machine Learning, and emerging technologies with strong theoretical and practical foundations.
• Hands-on Learning: Project-based learning through research projects, internships, live industry projects, industrial visits, hackathons, simulations, and real-world AI/ML applications.
• Technical Clubs: Encourages active participation in coding communities, professional societies, entrepreneurship initiatives, certification programs, and research activities.
• Activities: Regular expert lectures, workshops, seminars, hackathons, technical competitions, participation in conferences, and industry training programs.
• Skill Development: Focus on innovation, critical thinking, problem-solving, ethical practices, entrepreneurship, lifelong learning, and continuous skill enhancement.
• Career Readiness: Develops technical, analytical, programming, communication, and leadership skills for careers in AI, Data Science, Analytics, Healthcare, Manufacturing, E-commerce, IT Services, and other emerging technology sectors.
• Academic Excellence: Emphasizes continuous learning, practical skill development, and emerging technology adoption to prepare students for future opportunities in AI and Data Science.
• Research & Innovation: Promotes research, innovation, industry collaboration, faculty and student publications, intellectual property creation, and the development of AI/ML nd the development of AI/ML solutions for real-world challenges.
• To create a collaborative academic environment in the field of Artificial Intelligence and Data Science by imparting required skill sets and interactive industry interface for students and inculcate into them social and ethical values.
• To nurture students with latest technologies in the field of Artificial Intelligence and Data Science.
• To build industry academia interface to update the recent trends in field of Artificial Intelligence and Data Science.
• To prepare students with professional approach, strong ethical values and research spirit along with leadership skills.
• To mentor students in the field of Artificial Intelligence and Data Science research to serve the needs of the society.