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High Performance Computing with Data Science (Online Learning)

72 months
Duration
960 GBP/module
960 GBP/module
Unknown
Tuition fee
Anytime
Unknown
Apply date
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Start date

About

This High Performance Computing with Data Science (Online Learning) programme from The University of Edinburgh 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).

Overview

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.

Career opportunities

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.

Programme Structure

Compulsory courses:

  • Message Passing Programming 
  • Threaded Programming 
  • Programming Skills 
  • Software Development
  • Project Preparation
  • Dissertation

Key information

Duration

  • Part-time
    • 72 months

Start dates & application deadlines

More details
  • We encourage you to apply at least one month prior to entry so that we have enough time to process your application.

Credits

180 alternative credits

Delivered

Online

Academic requirements

GPA admission requirements GPA
Upper Second Class

Student insurance

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:

  • Additional medical costs (i.e. dental)
  • Repatriation, if something happens to you or your family
  • Liability
  • Home contents and baggage
  • Accidents
  • Legal aid

We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

Get your student insurance now

Start from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at The University of Edinburgh and/or in United Kingdom, please visit Student Insurance Portal.

Other requirements

General requirements

  • 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.

Tuition Fee

To alway see correct tuition fees
  • International

    960 GBP/module
    Tuition Fee
    Based on the tuition of 960 GBP per module during 72 months.
  • National

    960 GBP/module
    Tuition Fee
    Based on the tuition of 960 GBP per module during 72 months.
  • Fee per 10 credits

Funding

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.

Our partners

High Performance Computing with Data Science (Online Learning)
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The University of Edinburgh

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