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 High Performance Computing with Data Science (Online Learning) programme from The University of Edinburgh 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 (further information in the programme structure section, below).
EPCC is the UK’s leading supercomputing centre with staff who are experienced HPC practitioners and is a major provider of HPC training in Europe with an international reputation for excellence in HPC education and research and a well-established on-campus MSc programme that has been successful in training generations of specialists in parallel programming. Students benefit from access to HPC systems with recent examples including ARCHER (the UK national Tier 1 supercomputing service with over 100,000 cores) and Cirrus, an heterogeneous system EPSRC Tier-2 National HPC Facility.
Graduates 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.
- Message Passing Programming
- Threaded Programming
- Programming Skills
- Software Development
- Project Preparation
- 72 months
Start dates & application deadlines
- StartingApply anytime.
- We encourage you to apply at least one month prior to entry so that we have enough time to process your application.
DisciplinesInformatics & Information Technology Computer Sciences Data Science & Big Data View 76 other Masters in Data Science & Big Data in United Kingdom
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- 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, 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.
International960 GBP/moduleTuition FeeBased on the tuition of 960 GBP per module during 72 months.
National960 GBP/moduleTuition FeeBased on the tuition of 960 GBP per module during 72 months.
- Fee per 10 credits
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.