Course summary
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
Modules
See the University of Edinburgh website for detailed programme information.
Entry requirements
Entry requirements for individual programmes vary, so please check the details for the specific programme you wish to apply for on the University of Edinburgh website. You will also need to meet the University’s language requirements.
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional fee information
Provider information
The University of Edinburgh
Student Recruitment and Admissions
33 Buccleuch Place
Edinburgh
EH8 9JS