Scientific Computing and Data Analysis (Environmental and Geographic Information Systems)

Developments in fields such 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 have the potential to make a positive impact on issues relating to the Earth and its environment. Our suite of Masters in Scientific Computing and Data Analysis (MISCADA) 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 and the simulation and analysis of mathematical models Implementation and application of fundamental techniques in an area of specialisation (as well as options in Astrophysics, Engineering, AI Platforms, Computer Vision and Robotics, or Environmental and Geographic Information Systems we offer options in Astrophysics, Engineering, AI Platforms, Computer Vision and Robotics, or Financial Technology)

All streams require a 2:1 BSc (Honours) degree or international equivalent. In Physics or a subject with basic physics courses OR In Computer Science OR In Mathematics OR In Earth Sciences OR In Engineering OR In any natural sciences with a strong quantitative element.