Centre for Data Science and Machine Learning

Rapid advances in social media, online business, the Internet of Things, and digital technologies have led to a massive explosion of data in today’s world. The vast volume and varied formats of the available data present unprecedented challenges to existing sciences and technologies in processing and interpretation. To respond to the current data revolution, The Centre for Data Science and Machine Learning (CDSML) was formed by restructuring its predecessor, the Centre for Wavelets, Approximation, and Information Processing. CDSML is a faculty-level center hosted by the Department of Mathematics. The main objective of the center is to facilitate research and education by organizing and supporting activities in data science, machine learning, and artificial intelligence.

The CDSML emphasizes the synergy of mathematics, statistics and computer science in the domains of data science and machine learning.  Members of the center conduct research in the theoretical foundations of data science and machine learning and applying state-of-the-art techniques to solve a wide range of real-world problems, These include developing intelligent decision-making systems, enhancing predictive analytics, automating complex tasks, and advancing imaging technology, in various sectors such as finance, healthcare, government, and IT.   

To nurture the next generation of leaders in data science, the Centre has been actively supporting the educational goals of the University through training research  graduate students and offering the Master of Science in Data Science and Machine Learning (DSML) programme. In particular, the center serves as a platform to coordinate the administration and educational activities of the DSML programme. It also offers consulting services in data science analytics to enterprises and government agencies.