The most important aspect of computer science is problem solving, an essential skill for life. Data Science is concerned with how to gain knowledge from the vast volumes of data generated daily in modern life, from social networks to scientific research and finance, and proposes sophisticated computing techniques for processing this deluge of information. This courses addresses fundamental aspects of Data Science, e.g. analytical models to represent and understand the data, efficient algorithms to manipulate and extract relevant knowledge. In particular, students study the design, development and analysis of software and hardware used to solve problems in a variety of business, scientific and social contexts. During this course, students will study techniques for how to go from raw data to a deeper understanding of the patterns and structures within the data, to support making predictions and decision making. Students would be expected to have some basic knowledge of linear algebra and calculus.