Imaging, Vision and High Performance Computing Heriot-Watt University

Overview

The MSc Imaging, Vision and High Performance Computing at Heriot-Watt University is a pioneering joint degree delivered in partnership with the University of Edinburgh. This unique collaboration brings together world-leading expertise in signal and image processing with globally respected capabilities in High Performance Computing (HPC). Students benefit from the combined resources of two prestigious institutions, graduating with a degree awarded by both universities.

Designed for graduates with backgrounds in engineering, computer science, mathematics, or physics, the curriculum bridges the gap between hardware and software. You will develop advanced skills in computer vision and computational imaging algorithms while mastering the hardware technologies required for large-scale data processing.

Why Imaging, Vision and High Performance Computing at Heriot-Watt University?

This programme offers a rare opportunity to study at two of Scotland’s top-ranked research institutions. In the most recent Research Excellence Framework, the joint submission from these universities was ranked first in Scotland and third in the UK for Engineering research. This high standing reflects the quality of the facilities and the expertise of the academic staff involved in the delivery of the course.

Students gain hands-on experience with leading-edge technologies through the Signal and Image Processing Lab and the EPCC supercomputing facilities. The collaborative nature of the degree allows for a diverse learning environment, featuring a programming boot camp and a joint dissertation project. This project is supervised by experts from both institutions, ensuring a comprehensive and well-rounded research experience.

Tuition Fee Breakdown

• International fee: GBP 39200 per year
• National fee: GBP 16000 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum is structured across three semesters, focusing on core competencies in both imaging science and high-performance architectures. Modules may include:

• Threaded Programming
• High Performance Computing Architectures
• Message-Passing Programming
• Machine Learning at Scale
• Performance Programming
• Accelerated Systems
• Graph Methods for Imaging, Vision and Computing
• Optimisation and Deep Learning for Imaging and Vision
• Foundations of Learning and Computer Vision

Careers with Imaging, Vision and High Performance Computing

Graduates are prepared for high-level roles in sectors that require sophisticated image analysis and massive computational power. The skills acquired are highly sought after in industries such as medical imaging, autonomous systems, satellite data analysis, and scientific research. By mastering both the algorithmic and hardware aspects of the field, students become versatile professionals capable of driving innovation in global technology firms and specialised research organisations.