Programs

Computational Data Science

The Computational Data Science (CDAS) programme is designed to equip students with the mathematical, technical, and analytical skills needed to lead data-driven decision-making. In today's world, analyzing and managing massive amounts of data is crucial across many fields, including science, finance, engineering, and medicine. This program focuses on the computational aspects of data science, providing a deep understanding of algorithms and data structures for handling large datasets. Students will learn how to manipulate, visualize, interpret, and gain insights from complex information. The curriculum offers a solid foundation in data structures, algorithms, high-performance computing, statistical modeling, and large-scale statistical inference. Students can specialize in one of four streams: Computational Data Science, Computational Physics, Computational Medicine, or Computational Social Science, allowing them to tailor their studies to their specific interests. The program aims to produce graduates who are skilled in machine learning, database management, and high-performance computing, with a strong statistical background, preparing them for a variety of roles in the rapidly growing field of data science.