Structure of the programme
Students can take the MSc in Applied Mathematics or alternatively can choose to take one of the structured pathways, leading to an MSc in Applied Mathematics with Numerical Analysis or an MSc in Applied Mathematics with Industrial Modelling.
Students will take 8 taught course units (120 credits) throughout semesters 1 and 2. This will give a broad training in advanced Applied Mathematics. For the MSc in Applied Mathematics there are 5 compulsory units and 3 optional units (chosen from 6 optional courses). For students taking the pathway courses, all 8 taught courses are compulsory.
Dissertations undertaken over the summer can be taken in collaboration with industry and various sponsored projects are available. Choices of dissertations will be made after the January exams. Some of the work undertaken in the transferable skills will then be focused on the areas of importance for the dissertation topic chosen.
Aims of the programme
The aims of the programme are to train students in a broad range of Applied Mathematical Methods and techniques both analytical and computational with a focus on application areas. The aim is that students will pick up a variety of skills of great use for entrance onto a PhD programme or entrance into employment within an industrial sector where knowledge of applied mathematics is of great use.
Emphasis is on engagement with industry where possible and to train students not only to do mathematics but also to gain additional transferable skills of importance in academia and industry. Notably, in the transferable skills unit, students will focus on group work, mathematical modelling problems, communication of work undertaken via written projects and oral presentations and develop their research skills.
Level 6 course units
|MATH64041 - Applied Dynamical Systems||1||Mandatory||15||6|
|MATH64051 - Mathematical Methods (as MAGIC022)||1||Mandatory||15||6|
|MATH66101 - Numerical Linear Algebra||1||Mandatory||15||6|
|MATH69111 - Scientific Computing||1||Mandatory||15||6|
|MATH64062 - PDEs: Theory and Practice (MAGIC058)||2||Mandatory||15||6|
|MATH66052 - Approximation Theory and Finite Element Analysis||2||Mandatory||15||6|
|MATH66132 - Numerical Optimization and Inverse Problems||2||Mandatory||15||6|
|MATH65740 - Transferable Skills for Applied Mathematicians||1 and 2||Mandatory||15||6|