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- High Performance Computing with Data Science (Online Learning) PgProfDev
High Performance Computing with Data Science (Online Learning) PgProfDev
Course options
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Qualification
Professional Development Diploma
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Location
Online
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Study mode
Distance / Online
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Start date
15-SEP-25
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Duration
2 Years
Course summary
This PgProfDev programme aims to provide students with in-demand (for both a wide range of industries and academic disciplines) skills and knowledge of the techniques and technologies underpinning parallelism and High Performance Computing (HPC).HPC is the use of powerful processors, networks and parallel supercomputers to tackle problems that are very computationally or data-intensive. Data Science involves the manipulation, processing and analysis of data to extract knowledge, and High Performance Computing (HPC) provides the power that underpins it. 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. High Performance Computing is a key area supporting most areas of scientific research and industry.The flexible structure ensures students acquire core principles required before proceeding to their choice of more advanced topics and allows students to take on the programme at their own pace. You can study to an MSc, Postgraduate Diploma, Postgraduate Certificate or Postgraduate Professional Development level.Career opportunitiesGraduates from EPCC’s on-campus MSc programmes are in high demand from a wide range of companies ranging from multinationals to SMEs both within the UK, Europe, and internationally as well as a strong demand from within academia both as researchers within HPC, computational science fields, data science, and professionally for HPC services and centres underpinning research.Initial graduate destinations for on-campus students over recent years include: ARM, Intel, Amazon, MathWorks, NCR, Avaloq, Global Surface Intelligence, Boston Ltd, ECMWF, Leonardo, STFC, ICHEC, and, EPCC itself with 10 current EPCC staff being graduates of the on-campus programme. Many students also go on to further study opportunities, with 8 current University of Edinburgh PhD students being graduates of the programme.
Tuition fees
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£ 5,325per 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
18th
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Campus address
University of Edinburgh, The University of Edinburgh, Old College, Edinburgh, Edinburgh, City Of, EH8 9YL, Scotland
Subject rankings
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Subject ranking
16th out of 117 2
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Entry standards
/ Max 223203 91%7th
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Graduate prospects
/ Max 10092.0 92%18th
2 -
Student satisfaction
/ Max 42.82 70%108th
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