•This course is for you if you wish to enter knowledge-led industrial sectors or to embark upon doctoral interdisciplinary study. •This interdisciplinary programme between Mathematics, Engineering, Physics, and Astronomy gives you access to a broad range of knowledge and application in industry and academia.
What will you gain as a student?
•practical skills in computation in a range of languages and professional software •rigorous understanding of the theory of common numerical methods •technical knowledge in numerical modelling •exposure to a range of common areas of application
Scientific Computing Practical Programming Computational Methods for PDEs or Finite Element Methods
Optional Modules include:
Topics in Mathematical Biology Particle Methods in Scientific Computing Advanced Fluid Dynamics Data Mining and Neural Networks Computational Fluid Dynamics Dynamics of Mechanical Systems Applications in Theoretical Physics