High Performance Computing with Data Science (Online Learning) PDD

The University of Edinburgh

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 an:

• MSc

• Postgraduate Diploma

• Postgraduate Certificate

• Postgraduate Professional Development level

Further information can be found 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 ARCHER2 (the UK national Tier 1 supercomputing service ) and Cirrus, a heterogeneous Tier-2 National HPC Facility.