MSc Scientific Computing and Data Analysis (Computer Vision and Robotics)

The MSc in Scientific Computing and Data Analysis (Computer Vision and Robotics) develops advanced expertise in machine learning, high-performance computing, computer vision and robotic motion. It suits students with strong backgrounds in mathematics, physics, engineering or computer science who want to work in robotics, autonomous systems, visual computing or scientific research.

Curriculum Structure (Full-time, 1 Year)

Year of Study

Students begin with Introduction to Machine Learning and Statistics, Introduction to Scientific and High Performance Computing, and Professional Skills, gaining foundations in statistical analysis, numerical methods, coding, and computational techniques used in scientific and engineering problems. They then specialise through modules such as Computer Vision, Robotics – Planning and Motion, and Deep Learning for Computer Vision and Robotics. These teach visual perception algorithms, robot motion planning, control, localisation, and deep-learning approaches used in tasks like object detection, navigation and SLAM. The year concludes with a major Project, where students apply high-performance computing, machine learning, and robotics/vision algorithms to solve an applied or research-oriented problem.

Focus areas: “Scientific computing, machine learning, high-performance computing, computer vision, robotics planning and control, deep learning for vision/robotics”

Learning outcomes: “Apply ML and statistical methods; perform high-performance computational simulations; design computer-vision algorithms; develop robotics planning and motion solutions; build deep-learning systems for vision and robotics; complete an advanced research project.”

Professional alignment (accreditation): Master’s-level training aligned with research and industry needs in robotics, autonomous systems, scientific computing and AI.

Reputation (employability rankings): Durham University is a highly ranked UK institution with strong research activity; graduates progress into robotics, AI, autonomous systems, computer-vision engineering, high-performance computing roles, or PhD pathways.