MSc High Performance Computing with Data Science
關於課程
HPC is the use of powerful processors, networks and parallel supercomputers to tackle problems that are very computationally or data-intensive. You will learn leading-edge HPC technologies and skills to exploit the full potential of the world’s largest supercomputers and multicore processors. This is a well-established programme that has been successful in training generations of specialists in parallel programming.
Data science involves the manipulation, processing and analysis of data to extract knowledge, and HPC provides the power that underpins it. You will learn the multidisciplinary skills and knowledge in both HPC and data science to unlock the knowledge contained in the increasingly large, complex and challenging data sets that are now generated across many areas of science and business. Our staff have a wealth of expertise across HPC, parallel programming technologies and data science.
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Entry requirements for 愛丁堡大學
A UK 2:1 honours degree, or its international equivalent, in a relevant subject such as computer science and informatics, physics, mathematics, engineering, biology, chemistry and geosciences. You must be a competent programmer in at least one of C, Python, Fortran, or Java and should be familiar with mathematical concepts such as algebra, linear algebra and probability and statistics. We will also consider your application if you don’t have formal programming training (e.g. if you are primarily self-taught), or if you have a 2:2 honours degree with high marks in computational courses and/or additional relevant work experience. Your application should clearly demonstrate your relevant experience.
IELTS Academic: total 6.5 with at least 6.0 in each component
TOEFL-iBT: total 92 with at least 20 in each section
English language requirements
托福(TOEFL iBT)總分: 100.0
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