Mathematics of Data Science United Arab Emirates University

Overview

The Mathematics of Data Science program at United Arab Emirates University 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. 

Program Learning Outcomes

Upon successful completion of this program, students will be able to:

• Identify, formulate and solve complex problems by applying knowledge of mathematics and data science.
• Formulate or design a mathematical model, procedure or algorithm for real-life data science problems, in a wide range of application domains.
• Communicate effectively mathematical ideas related to data science problems through presentations and reports to a range of audiences.
• Search literature to understand ethics and professional responsibilities, and the impact of mathematical data science solutions in different contexts.
• Work effectively in teams to accomplish common goals, plan tasks, meet deadlines, and analyze risk and uncertainty.
• Utilize data, apply clear and well-organized mathematical reasoning, and employ data science principles, methods, and techniques to help solve problems and draw meaningful conclusions.