Overview
The Machine Learning and Big Data in the Physical Sciences at Imperial College London will focus on the use of machine learning and data-science techniques in the acquisition, curation and analysis of extremely large datasets which are common-place in modern Physics research.
Key Facts
The challenges faced in Physics in particular, combined with both the very large datasets and data rates generated continue to make the field a unique development ground for machine learning and more generally artificial intelligence.
The main component of this MRes is an extended (9 months) research project, starting in Term 2, where you will carry out original research embedded in a research group. You will have the opportunity to work on cutting-edge research topics, using machine learning and data science technologies to enhance that research.
The project forms two thirds of the course, allowing you to fully engage with a research group within the Physics Department. You will have the opportunity to choose from a wide range of projects before being allocated during Term 1.
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Statistical Methods for Experimental Physics
- Practical Data Analysis and Machine Learning in the Physical Sciences
- Accelerated Processing for Big Data Analysis
- Performance Modelling
- Implementation of Algorithms
- Machine Learning Techniques
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
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Deadlines:
- Round 2: 7 January
- Round 3: 11 March
- Round 4: 29 April
Language
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Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Physics Data Science & Big Data Machine Learning View 410 other Masters in Data Science & Big Data in United KingdomExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
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- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- 2:1 degree or three years of relevant work experience in the physical sciences (such as physics, chemistry, applied mathematics) or appropriate quantitative disciplines such as engineering, finance, medical clinical, or transportation.
All candidates must demonstrate a minimum level of English language proficiency for admission to Imperial.
The academic requirement above is for applicants who hold or who are working towards a UK qualification.
Make sure you meet all requirements
Visit programme websiteTuition Fees
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International Applies to you
Applies to youNon-residents44500 GBP / year≈ 44500 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents22100 GBP / year≈ 22100 GBP / year
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Check for any work restrictions
Visit programme website
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Scholarships Information
Below you will find Master's scholarship opportunities for Machine Learning and Big Data in the Physical Sciences.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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