Course summary

Course Overview

• 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.

• 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.