Data science is the study of the computational principles, methods, and systems for extracting and structuring knowledge from data; and the application and use of those principles. Large data sets are now generated by almost every activity in science, society, and commerce - ranging from molecular biology to social media, from sustainable energy to health care. Data science asks: how can we efficiently find patterns in these vast streams of data? Many research areas have tackled parts of this problem: machine learning focuses on finding patterns and making predictions from data; ideas from algorithms and databases are required to build systems that scale to big data streams; and separate research areas have grown around different types of unstructured data such as text, images, sensor data, video, and speech. Recently, these distinct disciplines have begun to converge into a single field called data science. Data Science is designed to attract students who want to establish a career as a data scientist in industry or the public sector, as well as students who want to explore the area prior to further training such as in our CDT in Data Science. The learning objectives of the degree are to foster: a breadth of knowledge across the data science areas; an advanced technical background in at least one of the data science areas; an appreciation for real-world problems involving the use of data in industry, science, and the public sector; research experience in one of the data science areas.