MSc Scientific Computing and Data Analysis (Artificial Intelligence for Engineering)

Durham University

Developments in the field of engineering are increasingly driven by experts in computational techniques. Our suite of Masters in Scientific Computing and Data Analysis (MISCADA) offers an application-focused course to deliver these skills with three interwoven strands:Implementation and application of fundamental techniques in an area of specialisation (in addition to AI for Engineering, we offer options in Financial Technology, Astrophysics, Computer Vision and Robotics, or Earth and Environmental Sciences)Computer Science underpinnings of scientific computing (algorithms, data structures, implementation techniques, and computer tool usage)Mathematical aspects of machine learning and the simulation and analysis of mathematical modelsThe MISCADA specialist qualification in Engineering introduces you to engineering applications through a structured program of taught modules and project work. Through lectures, computer labs and projects, you'll learn to:Design and implement AI solutions for engineering problems.Apply deep learning and optimisation techniques to engineering systems.Integrate AI with physical models and engineering principles. Develop robust software implementations.