The Department of Data Science & Analytics, established in 2021, aims to meet the growing demand for professionals skilled in data-driven technologies across various sectors. The department focuses on providing industry-relevant knowledge, practical skills, and analytical thinking to solve real-world problems. It aligns its curriculum with national skill development initiatives and emerging industry needs. Key academic areas include data science fundamentals, statistics, programming, database management, data visualization, business analytics, and an introduction to machine learning and artificial intelligence. The curriculum integrates theoretical foundations with extensive practical exposure, emphasizing experiential learning through lab sessions, projects, internships, and on-the-job training.

Innovative teaching practices such as project-based learning, problem-solving approaches, ICT-enabled instruction, and collaborative learning are implemented to enhance student engagement. The department ensures students gain real-world experience through case studies, industry-oriented assignments, and hands-on projects. Supported by well-equipped computer labs, relevant software, and digital learning resources, the department facilitates effective training in data analysis and programming. Faculty members actively participate in professional development, encouraging students to engage in innovative, research-oriented activities. With a strong focus on employability, the department ensures that students are industry-ready through mandatory internships and on-the-job training across all years of the program.