Imperial College London

Imperial College London

Master of Science Applied Mathematics

The Master of Science Applied Mathematics in Mathematics is offered by Imperial College London.

Program Length: 1 YEAR.

This programme is delivered full-time over 12 months or part-time over 24 months.
The course provides excellent training in many different areas of applied mathematics and equips students with a range of mathematical skills in problem solving, project work and presentation.
MSc in Applied Mathematics is delivered in small classes and offers a variety of optional modules. You complete a substantial research project, which in the past have often led to publication in scientific journals.

Structure

Modules shown are for the current academic year and are subject to change depending on your year of entry.Please note that the curriculum of this course is currently being reviewed as part of a College-wide process to introduce a standardised modular structure. As a result, the content and assessment structures of this course may change for your year of entry. We therefore recommend that you check this course page before finalising your application and after submitting it as we will aim to update this page as soon as any changes are ratified by the College.

Student choose eight taught modules which account for two-thirds of your overall grade. Part-time students choose four modules in first-year and four modules in second-year.
  • Advanced Dynamical Systems.
  • Advanced topics in Partial Differential Equations.
  • Asymptotic Analysis.
  • Bifurcation Theory.
  • Computational Linear Algebra.
  • Computational Partial Differential Equations.
  • Computational Stochastic Processes.
  • Dynamical Systems.
  • Dynamics of Games.
  • Dynamics, Symmetry and Integrability.
  • Ergodic Theory (Seminar Course).
  • Finite Elements: Numerical Analysis and Implementation.
  • Fluid Dynamics I.
  • Fluid Dynamics II.
  • Function Spaces and Applications.
  • Geometric Mechanics.
  • Hydrodynamic Stability.
  • Introduction to Geophysical Fluid Dynamics.
  • Introduction to Partial Differential Equations.
  • Introduction to Riemann Surfaces and Conformal Dynamics.
  • Mathematical Biology.
  • Mathematical Finance.
  • Mathematical Physics I: Quantum Mechanics.
  • Methods for Data Science.
  • Methods of Mathematical Physics.
  • Numerical Solution of ODEs.
  • Quantum Mechanics II.
  • Scientific Computation.
  • Stochastic Differential Equations.
  • Theory of Complex Systems.
  • Vortex Dynamics.

Teaching and assessment

Teaching methods

  • Group tutorials
  • Independent research project
  • Individual student/lecturer consultations
  • Lectures
  • Problem classes
  • Problem sheets
  • Research seminars

Assessment methods

  • Coursework
  • Dissertation
  • Examination
  • Oral assessment
  • Practical

Entry requirements

We welcome students from all over the world and consider all applicants on an individual basis.



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