Course summary
Further your understanding of the methodologies and toolkits used in research involving large data sets on this Master's course. This programme considers how the field of physics provides a unique development ground for machine learning and artificial intelligence. You'll examine the use of machine learning and data-science techniques in the acquisition, curation and analysis of large datasets commonplace in modern physics research. You'll also explore how different techniques can be deployed in real research and how to apply these tools to real-life experimental data. An extended project forms the major component of this course, providing you with an opportunity to investigate a cutting-edge physics research topic. You'll learn alongside world-leading experts at Imperial and deploy the latest data science technologies to enhance your research.
Entry requirements
2:1 degree or three years of relevant work experience in quantitative disciplines such as finance, computer engineering, medical clinical and transportation. We also accept a wide variety of international qualifications.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
Imperial College London
South Kensington Campus
Kensington and Chelsea
SW7 2AZ