Computer Graphics, Vision and Imaging MSc

Position yourself at the cutting edge of vision and imaging with this one-of-a-kind Master’s programme. The Computer Graphics, Vision and Imaging MSc takes a 360-degree approach to imagery, ranging from interpreting real world images through computer systems, to the use of virtual and augmented reality. Taught at UCL, world renowned for computer science research, this is an exciting environment to become an expert in the field. Used in everything from games and movies to autonomous driving, computer graphics, vision and imaging is a stimulating and relevant niche of computer science. Designed to create talented, knowledgeable and creative practitioners, the MSc in Computer Graphics, Vision and Imaging will allow you to pursue a range of related careers and become career-ready for the world of computer graphics, special effects and many other areas. This MSc is led by experts renowned in computer graphics, geometry processing, computer vision, and virtual environments. You will receive a solid foundation in machine vision, image processing, computer graphics, and machine learning, with optional modules to specialise in areas like robot vision, virtual environments, or biomedical imaging. The programme includes an individual project, allowing you to apply your skills to a focused area of interest. Access to exciting facilities, including 3D scanners and prototypes, 5G motion capture, and virtual reality tools, further enhances your learning experience, preparing you for a range of careers in imagery, graphics, and vision. This programme is ideal for you if you wish to develop the skills necessary for a career in computer graphics, 3D acquisition and fabrication, medical imaging, robotics, special effects in games and film, computer vision, image and video generation and representation, or related applications.

A minimum of an upper second-class UK Bachelor's degree (or international qualification of an equivalent standard) in a relevant subject such as computer science, mathematics, electrical engineering, or physical sciences. Additionally, applicants must have suitable mathematics and computer programming skills. Relevant work experience may also be considered.