Taught course

High Performance Computing with Data Science

Institution
University of Edinburgh · School of Physics and Astronomy
Qualifications
MSc

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Entry 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.

Months of entry

September

Course content

You 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.

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.

Data science involves the manipulation, processing and analysis of data to extract knowledge, and HPC provides the power that underpins it. You will learn the multidisciplinary skills and knowledge in both HPC and data science to unlock the knowledge contained in the increasingly large, complex and challenging data sets that are now generated across many areas of science and business. Our staff have a wealth of expertise across HPC, parallel programming technologies and data science.

This is an applied and practically-focused programme where you will develop and run software using a range of programming languages and techniques. A core set of courses requires knowledge of one of C, C++, or Fortran; prior knowledge of any of these is not required as students are introduced to them at the start of the programme. Students should already be competent programmers e.g. in Java, Python, or one of the above-noted languages (see entry requirements, below), and keen to learn new programming approaches.

EPCC is the UK’s leading supercomputing centre with staff who are experienced HPC practitioners. EPCC 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 advanced 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.

Qualification, course duration and attendance options

  • MSc
    part time
    24-36 months
    • Campus-based learningis available for this qualification
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Name
MSc Programmes Officer
Email
msc@epcc.ed.ac.uk
Phone
+44 (0)131 651 3398