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Heriot-Watt University: Imaging, Vision and High Performance Computing

Institution Heriot-Watt University View institution profile
Department Electrical, Electronic and Computer Engineering View department profile
Web www.edinburgh-robotics.org
Email studywithus@hw.ac.uk
Telephone 0131 451 3376
Study type Taught

Summary

Overview A pioneering degree combining Heriot-Watt University's world leading expertise in Signal and Image Processing with the University of Edinburgh’s globally respected capabilities in High Performance Computing.

The MSc Imaging, Vision and High Performance Computing is a joint MSc between Heriot-Watt University and the University of Edinburgh. It has been designed for students with a background in science, engineering, or computing.

This degree will place you at the cutting-edge of science and technology, with skills in computational imaging algorithms and computer vision, as well as in High Performance Computing (HPC) hardware and software technologies. It is a programme of study which, for the first time, brings together the world-leading expertise of Heriot-Watt University in Signal and Image Processing with the University of Edinburgh’s globally respected capability in HPC.

You will graduate simultaneously from both the University of Edinburgh and Heriot-Watt University

Six reasons to study MSc Imaging, Vision and HPC in Edinburgh - Data scientists, data engineers, and business analysts are among the most sought-after careers and Edinburgh is intended to be the Data capital of Europe, with strategic Data-Driven Innovation Hubs such as the Bayes Centre, the National Robotarium, and the Edinburgh International Data Facility.

  • Scientists and Engineers with dual competence in Imaging/Vision and HPC are highly sought-after in both the academia and industry, and Edinburgh is also host to the Imaging Alliance, a geographic cluster of companies from both industry & academia, who share their technological skills & research expertise to stimulate new ideas.

  • You will acquire unique interdisciplinary knowledge at the interface between the foundations of Imaging and Vision, based on optimisation, machine learning, graph theory, and imaging technologies, and associated high-performance computing hardware and software technologies.

  • You will be exposed to specialised applications in computational imaging and computer vision in a variety of domains, ranging from astronomy to medicine, and from computer graphics to autonomous systems.

  • You will have access to advanced HPC systems available at EPCC, including Cirrus and ARCHER2.

  • Our programme is run by international leaders in their field from both Heriot-Watt University and the University of Edinburgh.

A Partnership of World-Leading Departments The School of Engineering and Physical Sciences at Heriot-Watt University is renowned for world-class research in imaging and vision. The School's Signal and Image Processing Lab is a leading centre for computational imaging and computer vision, both nationally and internationally.

The School of Informatics at University of Edinburgh is one of the most renowned in the world. It provides academic governance to EPCC, the UK's leading supercomputer centre, which has a global reputation for innovative and leading-edge HPC research and training.

In the most recent Research Excellence Framework (REF2021), which assesses the quality of research of UK higher education institutions, the University of Edinburgh and Heriot-Watt University were jointly ranked first for Engineering research in Scotland, and third in the UK. The School of Informatics at the University of Edinburgh and EPCC have obtained similarly impressive results in Computer Science research, being ranked first in Scotland and sixth in the UK in REF2021.

More into Statistics than HPC? If you are willing to embark on an MSc in Imaging and Vision, but are more interested in complementing your education with foundational statistical aspects rather than HPC, check Heriot-Watt University's MSc in Computational Data Science.

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Electrical Engineering is essential in many of the products that impact our everyday lives. From smartphones and household appliances, to robotics and energy production.

The Institute of Sensors, Signals and Systems is a hands-on engineering institute with a strong applied and industrial research emphasis. Our expertise offer a stimulating environment for supervised research leading to the degrees of MSc, MPhil or PhD.

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