MMath Mathematics
Mathematics has been called the Queen of the Sciences and is at the heart of most scientific and technological endeavour as well as being indispensable in many other walks of life. It is one of the most profound, beautiful and exciting areas of human thought, with a history stretching back over several millennia. In the 21st century it is expanding at an unparalleled rate, and bringing modern ideas and methods to bear on the solution of classical problems, frequently with spectacular success. It appeals to those who enjoy problem solving and clear thinking, skills which are highly prized by employers. Whether you have a burning desire to unlock the secrets of the primes or are looking to combine Mathematics with another area of interest, at Reading we offer a range of degree courses to suit every taste.
If you aspire to become a research mathematician in academia, industry or elsewhere or simply have that extra bit of intellectual curiosity, this four-year degree course could be the one for you. The earlier part of the course proceeds in tandem with the BSc. You will then select advanced options, enabling you to investigate a number of central areas of mathematics in depth. The final year includes a guided project to further enhance your presentation skills along with your mathematics. Subject to meeting progression requirements, you may transfer either way between this course and the BSc as late as the end of the second year.
What will you study?
Year 1
Compulsory modules
Algebra I
Analysis I
Calculus methods
Linear algebra
Ordinary differential equations I
Probability
Vectors and matrices
Optional modules
Geometry
Scientific writing and mathematical programming
Statistical inference
Statistical methods
Plus options from other Departments
Year 2
Compulsory modules
Algebra II
Analysis II
Analysis in several variables
Communicating mathematics
Dynamics
Numerical methods
Ordinary differential equations II
Partial differential equations
Vector calculus
Year 3
Compulsory modules
Third-year project
Complex analysis I & II
Optional modules
Algebra III
Analysis and topology
Applied stochastic processes
Asymptotic methods I
Boundary value problems
Calculus of variations
Classical mechanics
Control systems
Dynamical systems
Fluid mechanics
Forensic statistics
Galois theory
Error correcting codes
History of mathematics
Mathematical biology
Mathematics for the digital economy
Modelling of soft matter
Number theory
Numerical techniques for integration and ordinary differential equations
Operational research techniques
The Lebesgue integral
Final year
Compulsory modules
Fourth-year project
Optional modules
Asymptotic methods ii
Analytic number theory
Finite element methods
Integral equations
Modern analysis
Numerical solution of differential equations
Probability theory
Spectral theory
Theory and techniques of data assimilation
Plus options not taken in Year 3