MSc Scientific Computing and Data Analysis (Artificial Intelligence for Engineering) in Durham United Kingdom | Durham University

Advancements in engineering are now predominantly shaped by specialists in computational methods. Our Masters in Scientific Computing and Data Analysis (MISCADA) program provides a practical curriculum designed to equip students with essential skills through three integrated components:Application and utilization of core methodologies within a chosen specialization (alongside AI for Engineering, we provide concentrations in Financial Technology, Astrophysics, Computer Vision and Robotics, or Earth and Environmental Sciences)Foundational Computer Science principles for scientific computing (including algorithms, data structures, implementation strategies, and software tools)Mathematical foundations of machine learning