Data and Information Science is an interdisciplinary course that focuses on the collection, organization, analysis, and interpretation of data to generate meaningful insights. It combines elements of computer science, statistics, and domain-specific knowledge to equip students with the skills needed to manage and analyze large datasets effectively. The course covers various topics, including data management, database systems, machine learning, data visualization, and information retrieval. 

Students learn how to use programming languages like Python and R, work with structured and unstructured data, and apply statistical techniques to solve real-world problems. The curriculum also includes data ethics, privacy, and security considerations to ensure responsible data handling. Practical applications of the course span across industries such as healthcare, finance, marketing, and artificial intelligence, making it a valuable field of study in the digital age. Graduates can pursue careers as data scientists, analysts, information managers, or research specialists, contributing to data-driven decision-making in various sectors.