In today’s data-driven society, Data Science provides a foundation for problem solving that impacts virtually all areas of the economy, including science, engineering, medicine, banking, finance, sports and the arts. Data science is an interdisciplinary field that focuses on analysing large amounts of data to identify inherent patterns, extract underlying models, and make relevant predictions. Data processing and analytics converts raw data into format which can be analysed and interpreted for a variety of purposes.
It focuses on data processing techniques and algorithms for representation of data in a meaningful way for human intelligence. The focus is also on innovative and intelligent ways of handling data which may be unstructured, high in volume, of different variety and analyzing data for various purposes. The data science and analytics programme is designed to prepare students in wide disciplines who want to gain practical know-how of data analytics methods as it relates to their field of interest. It is designed to empower them to employ computational thinking and data science tools to solve practical business problems. The coursework consists of courses that cover the spectrum of Data Science to equip the students with knowledge of data analysis techniques and data-centric computation to address problems that require large data.
It focuses on data processing techniques and algorithms for representation of data in a meaningful way for human intelligence. The focus is also on innovative and intelligent ways of handling data which may be unstructured, high in volume, of different variety and analyzing data for various purposes. The data science and analytics programme is designed to prepare students in wide disciplines who want to gain practical know-how of data analytics methods as it relates to their field of interest. It is designed to empower them to employ computational thinking and data science tools to solve practical business problems. The coursework consists of courses that cover the spectrum of Data Science to equip the students with knowledge of data analysis techniques and data-centric computation to address problems that require large data.