**immerse yourself in the emerging interdisciplinary field of engineering, computing and statistics. combine a project-based approach with flexible learning on our msc in applied data science. the course tackles four key strands of data science learning: data science, artificial intelligence, the internet of things, and robotics.** - the ongoing progress in mathematical tools and automated data acquisition, combined with the growth of very large datasets and computational power, has established data science as a mature discipline with a broad spectrum of applications. - this course is designed to develop your knowledge and skills in modern data science practice. practical and theoretical skills, such as programming, project management and statistics, are developed through a learning approach that combines taught sessions with individual and group projects. **why study with us** - choose an optional module based on your own academic interests. options are available for software engineering, robotics, sensors and instruments - learn from an expert team. many of the course tutors have research interests and experience in the field of data science and its applications. a number of staff are also research active. - participate in a school expo, presenting your project to an external audience including industry representatives. the expo involves a three-minute competition for your project.