The Department of Data Science and Artificial Intelligence at PB Siddhartha College of Arts & Science was established in 2023. The department includes three different Programmes as Data Science, Artificial Intelligence and Data Analytics with an intake of 50 seats each. The department is dedicated to providing cutting-edge education and research opportunities in these rapidly evolving fields. With the increasing importance of AI and data-driven decision-making across industries, the department aims to equip students with the necessary skills to address real-world challenges. Our programs focus on building strong foundations in key areas like machine learning, deep learning, data analytics, and AI-driven problem-solving. We emphasize a multidisciplinary approach, integrating concepts from mathematics, Statistics, computer science, and domain-specific knowledge to prepare students for careers in AI, data science, and related fields. The department is committed to fostering innovation through both fundamental and applied research, with a focus on solving pressing societal problems. Through partnerships with industry, government, and research organizations, we ensure students have access to hands-on experience, internships, and collaborative projects that bridge the gap between theory and practice. The department is poised to become a leader in AI and data science education in the region.

To become a leading center of excellence in Data Science and Artificial Intelligence by fostering innovative research and producing skilled professionals who can address global and local challenges, driving societal progress through impactful solutions.

• 1. Quality Education: Provide comprehensive and industry-relevant education in Data Science and AI through undergraduate and postgraduate programs, equipping students with the knowledge and skills to excel in the evolving digital landscape.
• 2. Research & Innovation: Promote fundamental and applied research in areas such as machine learning, data analytics, deep learning, and AI-driven technologies, with a focus on solving real-world problems and contributing to societal development.
• 3. Industry Collaboration: Establish strong collaborations with industry, government, and research institutions to offer internships, workshops, and hands-on projects, bridging the gap between academia and industry needs.
• 4. Societal Impact: Encourage entrepreneurship and innovation by fostering AI-based startups and providing students with opportunities to develop solutions tailored to the needs of society, especially in the local and regional context.
• 5. Lifelong Learning: Offer continuous learning opportunities through specialized training programs, certifications, and workshops to enhance the skills of professionals in the AI and Data Science fields.