Scientific Computing and Data Analysis (Earth and Environmental Sciences) at Durham University

Advances in fields such as Physics, Engineering, Earth Sciences or Finance are increasingly driven by experts in computational techniques. Notably, people skilled to write code for the most powerful computers in the world and skilled to process the biggest data sets in the world can truly make a difference.

The MSc in Scientific Computing and Data Analysis offers an application-focused course to deliver these skills with three interwoven strands:

• Computer Science underpinnings of scientific computing (algorithms, data structures, implementation techniques, and computer tool usage)
• Mathematical aspects of data analysis
• Implementation and application of fundamental techniques in a domain specialisation (presently astrophysics, particle physics, or financial mathematics).

Through MISCADA’s Earth & Environment domain specialisation, we seek to provide the advanced knowledge of how to use sophisticated datasets and tools to tackle cutting-edge and societally-relevant problems relating to the Earth’s environment and management of its scarce resources. We introduce a variety of Earth and Environmental datasets, as well as to the specialist mathematical and software tools required for their quantitative and computational analysis.