Overview
The Scientific Computing and Data Analysis (Artificial Intelligence for Engineering) programme offered by Durham University offers an application-focused course to deliver these skills with three interwoven strands.
Key Facts
- Implementation and application of fundamental techniques in an area of specialisation (in addition to AI for Engineering, we offer options in Financial Technology, Astrophysics, Computer Vision and Robotics, or Earth and Environmental Sciences)
- Computer Science underpinnings of scientific computing (algorithms, data structures, implementation techniques, and computer tool usage)
- Mathematical aspects of machine learning and the simulation and analysis of mathematical models
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
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Credits
Delivered
Campus Location
- Durham, United Kingdom
Disciplines
Computer Sciences Artificial Intelligence View 486 other Masters in Computer Sciences in United KingdomWhat students do after studying
Academic requirements
English requirements
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AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
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 (Artificial Intelligence for Engineering).
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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