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MSc Scientific Computing and Data Analysis (Artificial Intelligence for Engineering)
Course options
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Qualification
MSc - Master of Science
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Location
Durham University
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Study mode
Full time
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Start date
05-OCT-26
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Duration
1 Year
Course summary
Developments in the field of engineering are increasingly driven by experts in computational techniques. Our suite of Masters in Scientific Computing and Data Analysis (MISCADA) offers an application-focused course to deliver these skills with three interwoven strands: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 modelsThe MISCADA specialist qualification in Engineering introduces you to engineering applications through a structured program of taught modules and project work. Through lectures, computer labs and projects, you'll learn to:Design and implement AI solutions for engineering problems.Apply deep learning and optimisation techniques to engineering systems.Integrate AI with physical models and engineering principles. Develop robust software implementations.
Tuition fees
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£ 34,500per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information
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University League Table
6th
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Campus address
Durham City, Palatine Centre, Durham, Durham, DH1 3HP, United Kingdom
Subject rankings
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Subject ranking
8th out of 118 3
6th out of 32 1
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Entry standards
/ Max 229195 85%8th
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Graduate prospects
/ Max 10094.0 94%4th
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Student satisfaction
/ Max 43.13 78%35th
45 -
Entry standards
/ Max 221190 86%4th
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Graduate prospects
/ Max 10092.0 92%7th
2 -
Student satisfaction
/ Max 43.13 78%12th