DS is a multidisciplinary field that combines statistics, mathematics, and computer science to analyze and interpret complex data. It involves extracting valuable insights from structured and unstructured data through techniques like data mining, machine learning, and predictive modeling, helping organizations make data-driven decisions and solve real-world problems.
The university offers Data Structures programs at the postgraduate level, with an intake of 12 students.