Scientific Computing and Data Analysis (Computer Vision and Robotics)

Developments in fields such robotics, physics, engineering, earth sciences or finance are increasingly driven by experts in computational techniques. Those with the skills to write code for the most powerful computers in the world and to process the biggest data sets in the world can truly make a difference. There’s great synergy between the modules and you will be given plenty of opportunities to put your learning into practice from the start of the course. Our research-led approach allows you to take some of the newest theoretical ideas and directly translate them into working codes in their respective application areas. If you have an undergraduate degree in a science subject with a strong quantitative element, including computer science and mathematics and want to work at the highest level in computer vision and robotics, either in academia or in industry, then this could be the course you’re looking for. The MISCADA specialist qualification in Computer Vision and Robotics is designed to equip you with the background knowledge and skills to address some of the biggest research questions in computer vision and robotics, such as how we can develop future mobility solutions which combine autonomy with safety and reliability. The course explores areas such as computer vision, machine learning, robotic motion and planning, as well as reinforcement learning.