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    School of Informatics Logo
  • Study Type

    Full time & Part time available

  • Subject Areas

    Computer Science

  • Start Date

    September

  • Course Duration

    MSc: 1 year full time, 3 years par time PgDip: 9 months full time

  • Course Type

    MSc, PgDip

  • Course Fees

    Tuition fees vary between degree programmes. Find the specific fees for your chosen programme on our website.

  • Last Updated

    26 November 2018

Course content

Programme Description

u will study at EPCC, the UK’s leading supercomputing centre and a Centre of Excellence within the University's College of Science and Engineering. EPCC is a major provider of high performance computing (HPC) training in Europe with an international reputation for excellence in HPC education and research.

Our staff have a wealth of expertise across all areas of HPC, parallel programming technologies and data science.

This MSc programme has a strong practical focus and provide access to leading-edge HPC systems such as the UK national supercomputing service, currently ARCHER (118,000 processing cores), although it is possible during academic year 2019/20 that you will also receive access to its successor system.

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

Programme structure

The MSc programme takes the form of two semesters of taught courses followed by a dissertation project.

Your studies will have a strong practical focus and you will have access to a wide range of HPC platforms and technologies. You will take six compulsory courses, which provide a broad-based coverage of the fundamentals of HPC, parallel computing and data science. The option courses focus on specialist areas relevant to computational science. Assessment is by a combination of coursework and examination.

Taught courses

Compulsory courses: *

  • HPC Architectures (Semester 1)
  • Message-Passing Programming (Semester 1)
  • Programming Skills (Semester 1)
  • Threaded Programming (Semester 1)
  • Software Development (Semester 2)
  • Project Preparation (Semester 2)

Optional courses (at least 4 of): *

  • Numerical Algorithms for High Performance Computing (Semester 1)
  • Design and Analysis of Parallel Algorithms (Semester 1)
  • Advanced Parallel Techniques (Semester 2)
  • Advanced Message-passing Programming (Semester 2)
  • Parallel Design Patterns (Semester 2)
  • Performance Programming (Semester 2)

Optional Extension Courses (maximum two of, access may be subject to meeting individual course prerequisites):

  • Fundamentals of Data Management (Semester 1)
  • Data Analytics with High Performance Computing (Semester 2)
  • Extreme Computing (Semester 1)
  • Compiler Optimisation (Semester 2)
  • One SCQF Level 11 course from the College of Science and Engineering

Dissertation

After completing the taught courses, students work on a three-month individual project leading to a dissertation.

Dissertation projects may be either research-based or industry-based with an external organisation, with opportunities for placements in local companies.

Industry-based dissertation projects

Through our strong links with industry, we offer our students the opportunity to undertake their dissertation project with one of a wide range of local, national and even international companies.

An industry-based dissertation project can give you the opportunity to enhance your skills and employability by tackling a real-world project, gaining workplace experience, exploring potential career paths and building relationships with industrial partners.

Career opportunities

Our graduates are employed across a range of commercial areas, for example software development, petroleum engineering, finance and HPC support. Others have gone on to PhD research in fields that use HPC technologies, including astrophysics, biology, chemistry, geosciences, informatics and materials science.


Visit the High Performance Computing (MSc/PgDip) page on the University of Edinburgh website for more details!

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