Applied Data Science

Entry requirements

• Applicants should have a 2:2 Honours Degree in relevant area or equivalent industrial experience
• Applicants degree should include a Programming Module
• Interviews might be required

Months of entry

September

Course content

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.

Information for international students

IELTS 6.5 with no component lower than 6.0.