Overview

Critical sectors of the economy and whole fields of inquiry have been transformed, as the availability of data at unprecedented scale has made it possible to solve daunting problems, that were previously inaccessible. This data revolution has fueled a meteoric rise in the demand for data scientists, with advanced analytical skills, who can transform data into knowledge and business insights. The Mathematics of Data Science program is designed to address the increasing talent gap in data science and train the next generation of highly skilled data scientists with the knowledge and domain expertise needed to thrive in a data-driven economy. The Mathematics of Data Science program will be hosted by the Department of Mathematical Sciences, COS. The program emphasizes the integration of the three pillars of data science – computational, and mathematical thinking – into a cohesive transdisciplinary course of study and internship experience in data analytics. The gained knowledge will introduce students to the concepts, tools, and methods to collect, process, and analyze data. Students will develop the ability to uncover hidden patterns and gain useful insights to solve real-world problems. The emphasis on developing and solving real-world problems in the relevant domain, two distinctive features of the program, will enable students to gain a comprehensive and fully integrated literacy in the foundational areas of data science and artificial intelligence and develop expertise in their domain of interest. Armed with these skills, students will develop the ability to use data and methodically connect theory to problems in hand to derive effective solutions to these problems in the context of the domain under consideration. Although a large demand for data science skills comes from high-tech companies, recent reports show that sectors other than technology are facing a noticeable shortage of skilled data scientists. The graduates of the program will gain the core skills and domain expertise to successfully compete for leading-edge jobs in all sectors of the economy. (1 Credit Hour “CH” is equivalent to 2 ECTS Credit Hours “European Credit Transfer and Accumulation System”).