MSc Applied Mathematics at University of Manchester

Develop advanced skills in mathematical modelling, scientific computing and uncertainty quantification, with opportunities to specialise in areas such as numerical analysis and industrial mathematics. Apply mathematics to real-world challenges across science and industry, from fluid flow and new materials to inverse problems and computational modelling.

Faculty: Faculty of Science and Engineering  |  Department: Department of Mathematics  |  Duration: 12 Months Full Time; 24 Months Part Time  |  Study mode: full-time / part-time  |  Intake: September 2027  |  Location: Manchester, England, United Kingdom

What you will study

Course unit details CORE (60 credits) * Introduction to Uncertainty Quantification * Mathematical Methods for Partial Differential Equations * Scientific Computing * Transferable Skills for Applied Mathematicians OPTIONAL (4 modules, 60 credits) * Dynamical Systems * Continuum Mechanics * Stability theory * Transport Phenomena and Conservation Laws * Advanced Uncertainty Quantification * Approximation Theory and Finite Element Analysis * Numerical Linear Algebra * Numerical Optimization and Inverse Problems Compulsory units include MSc Dissertation (60cr) MSc Applied Mathematics, Introduction to Uncertainty Quantification, Mathematical Methods for PDE's, Transferable Skills for Applied...

Career pathways

The programme will prepare students for a career in research (via entry into a PhD programme) or direct entry into industry. Possible subsequent PhD programmes would be those in mathematics, computer science, or one of the many science and engineering disciplines where applied mathematics is crucial.

Official programme page