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Imperial College London: Machine Learning and Big Data in the Physical Sciences
| Institution | Imperial College London View institution profile |
|---|---|
| Department | Physics |
| Web | www.imperial.ac.uk/study/courses/ |
| admissions.enquiries@imperial.ac.uk | |
| Telephone | 020 7594 2207 |
| Study type | Taught |
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.
Master of Research - MRes
| Level | RQF Level 7 |
|---|---|
| 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. |
| Location | South Kensington Campus Exhibition Road Kensington and Chelsea SW7 2AZ |
| Level | RQF Level 7 |
|---|---|
| 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. |
| Location | White City Campus 80 Wood Lane London W12 7TA |
Shape your future at Imperial
Welcome to Imperial College London, the world–leading university for science, technology, engineering, medicine and business (STEMB).
We were founded in 1907 with a mission ‘To be useful’, but we know that before anyone can usefully change something, they first need to understand it. That’s what we do here: we use science to try to understand more of the universe and improve the lives of the people in it.
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Imperial is consistently recognised as a top global research university and we are currently ranked 2nd in the World …
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