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High Performance Computing with Data Science (Online Learning) MSc

University of Edinburgh

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Course options

  • Qualification

    MSc - Master of Science

  • Location

    Run at the client site in the region of United Kingdom

  • Study mode

    Distance / Online

  • Start date

    SEP

  • Duration

    3 years

Course summary

Programme description

This 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.

Learning outcomes

The learning outcomes of the programme are to:

  • Equip students with an understanding of HPC architectures and technologies.
  • Equip students with expertise in advanced tools and techniques for HPC and Data Science software development.
  • Enable students to apply this knowledge in order to exploit modern parallel and multicore computing systems and Data Science techniques in key scientific and commercial application areas.
  • Enable students to develop skills in problem-solving, project management, independent and critical thinking, team work, professionalism and communication.
  • Enable students to develop as HPC and Data Science practitioners, able to apply current and emergent technologies in both industry and research.
  • Teach the leading-edge programming techniques required to exploit the power of the world’s largest parallel supercomputers.

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.

Tuition fees

Students living in United States
(international fees)

£ 16,400overall cost

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

University of Edinburgh

  • University League Table

    15th

  • Campus address

    University of Edinburgh, Student Recruitment and Admissions, 33 Buccleuch Place, Edinburgh, Edinburgh, City Of, EH8 9JS, Scotland

Subject rankings

  • Subject ranking

    3rd out of 81 1

  • Entry standards

    / Max 201
    187 94%

    4th

  • Graduate prospects

    / Max 100
    99 99%

    1st

  • Student satisfaction

    / Max 5
    4.00 80%

    54th

    22

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