Overview
The Scientific Computing and Data Analysis - AI Infrastructure Platforms programme offered by Durham University is driven by experts in computational techniques. Those with the skills to write code for the most powerful computers in the world and to process the biggest data sets in the world can truly make a difference.
Key Facts
There’s great synergy between the modules and you will be given plenty of opportunities to put your learning into practice from the start of the course. Our research-led approach allows you to take some of the newest theoretical ideas and directly translate them into working codes in their respective application areas. If you have an undergraduate degree in a science subject with a strong quantitative element, including computer science and mathematics and want to work at the highest level in high performance computing, either in academia or in industry, then this could be the course you’re looking for.
Programme Structure
Courses Include:
- Advanced Statistical and Machine Learning
- Advanced Statistics and Machine Learning: Regression and Classification
- Data Acquisition and Image Processing
- Performance Modelling, Vectorisation and GPU Programming
- Advanced Algorithms and Discrete Systems
- Machine Learning and Statistics
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , National
-
Language
IELTS & PTE Test Preparation
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- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
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Credits
Delivered
Campus Location
- Durham, United Kingdom
Disciplines
Computer Sciences Artificial Intelligence View 496 other Masters in Computer Sciences in United KingdomWhat students do after studying
Academic requirements
English requirements
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Other requirements
General requirements
- All streams require a 2:1 BSc (Honours) degree or international equivalent
- In Engineering OR
- In Computer Science OR
- In any natural science with a strong quantitative element.
- We encourage applicants to select a specialization area that aligns with their background. Please note that standard business degrees do not provide the necessary mathematical foundation.
- Applicants must demonstrate strong programming skills in at least one compiled language, preferably C or C++, although Rust, Java, C#, Fortran, or Pascal are also acceptable. Proficiency in Python may suffice if the applicant has a strong background in their chosen specialization. Those lacking experience in C or C++ are advised to enrol in our pre-sessional course.
- Additionally, we require knowledge of undergraduate-level mathematics, covering linear algebra, calculus, integration, ordinary and partial differential equations, and probability theory.
Tuition Fees
-
International Applies to you
Applies to youNon-residents34500 GBP / year≈ 34500 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents15000 GBP / year≈ 15000 GBP / year
Living costs
Durham
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Scientific Computing and Data Analysis - AI Infrastructure Platforms.
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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