The School of Mathematics offers a vibrant and supportive environment for postgraduates, spanning pure and applied mathematics, data science and analytics, financial risk, statistics and operational research.
Benefit from our excellent industry links providing opportunities for 'real life' dissertations and valuable work experience in the UK and abroad.
Research expertise
Students are taught and supervised by our research active staff, who will offer guidance and advice on an individual basis.
Enhanced employability
We offer a wide selection of optional modules to choose from, and plenty of opportunities for you to develop the professional skills that employers are looking for.
Develop your theoretical understanding, practical experience of data science and analytics with a specific focus on the application of data analytics within government and public service.
Acquire a range of in-demand skills for extracting and handling ‘big data’ and develop your practical skills through exposure to real-world problems and datasets.
Our MSc Mathematics delves into the fascinating, challenging and elegant world of mathematics; taking your skillset and knowledge base from a BSc in Mathematics (or similar) towards a point where you can embark on original research in pure and applied mathematics.
This programme is designed to equip you with the necessary analytical skills, methods and ways of thinking to tackle and analyse complex organisational problems, help make better decisions and become confident statistical analysts.
A unique MSc degree aimed at those who wish to study in greater depth risk models, particularly for applications to financial markets, but also to other sectors.
Research in this area spans: Wave propagation in inhomogeneous media; Homogenisation; Fluid mechanics; Structural and solid mechanics; Numerical analysis and scientific computing; Applied mathematical modelling; Memory effects; Inverse problems; Integral transforms.
Research in this area spans: Modelling of traffic flow; Healthcare modelling; Modelling of the spread of infectious diseases; Queueing theory; Scheduling and timetabling problems; Metaheuristics; Discrete optimisation.
Research in this area spans: Multivariate statistical analysis; Time series analysis; Statistical modelling in market research; Optimal experimental design; Stochastic global optimisation; Change point detection; Probabilistic methods in search and number theory; Fisheries; Medical statistics; Random fields; Mathematical finance.
Research in this area spans: Ordinary and partial differential equations; Functional analysis; Analytical and computational spectral theory; Quantum mechanics; Number theory and its applications; Mathematical physics; Operator algebras; Algebraic geometry.
Our talks
Overview of MSc Programmes in Mathematics
Director of Postgraduate Taught programmes Professor Owen Jones, gives an overview of our MSc's and how our vocational courses in collaboration with the School of Computer Science and Informatics offer the opportunity to complete summer dissertation projects with relevant companies.
Operational Research and Postgraduate Study
Paul Harper, Professor of Operational Research, talks about the fantastic research being carried out in Healthcare Modelling, and highlights how MSc students are given the opportunity to carry out projects of real-world importance, meaning you are highly employable after your MSc year.
MSc Dissertation Projects
Reader of Mathematics Dr Maggie Chen oversees MSc dissertation projects in our School, and talks about students being given the opportunity to apply the skills and knowledge they have learned during their course by completing their dissertation with relevant companies, leading to greater employability prospects.
Diversity in Mathematical Biology
A group of academics - including former BSc students who are now studying for their PhD - from the School of Mathematics present a video on the diversity of mathematics in the department, and more specifically how they use applied mathematics to answer biological questions and solve problems.
Maths Lecturer and MSc Alumni
Dr Geraint Palmer is a Welsh-medium lecturer in Mathematics at Cardiff University. He is a member of the Operational Research Group and teaches the Computational Method module as part of the MSc - which he himself is an alumni of.
MSc Data Science and Analytics Alumni Video: Montunrayo Shodimu
Montunrayo Shodimu, a graduate of MSc Data Science, talks about the wide range of extracurricular activities she took part in as a student. They include study skills development, learning new languages, volunteer work in the community - all of which earned her a Cardiff Award.
Benefit from the latest findings, knowledge and thinking on your course from our research-led academics, whose research has proven to demonstrate the impact mathematical sciences has on everyday life.
Our research extends across analysis and differential equations, applied mathematics, mathematical physics, operational research and statistics.
Exterior shot of Abacws, the new building which will be home to the School of Computer Science and Informatics, and the School of Mathematics.
Feature staircase of Abacws, which is due to open September of this year.
There will be multiple pc labs in the new building with some being able to accommodate as many as 100 students.
Abacws has been designed in collaboration with students and academic staff to create interdisciplinary, flexible and creative workspaces,
Abacws features flexible lecture theatres and seminar rooms with innovative layouts to encourage interaction.
The new £39m building will pioneer a way of working for Cardiff University which embodies collaboration and shared vision.
The single six-storey building is situated on Senghennydd Road next to Cathays railway station.
Data Science Academy
A number of our MSc degrees are taught at the Data Science Academy which was established to respond to the demand for highly-skilled and employable graduates in areas including data science.
By working together with industry, we aim to expose students to a broad range of techniques for understanding data and use these to apply cutting-edge analytical methodologies to a range of real-world problems.