Developments in mathematical optimisation and statistics have revolutionised system engineering and have created an urgent need, for a new generation of mathematicians trained to work at the frontiers of mathematical optimization, statistics and their applications to engineering, healthcare, finance and economics.
In recent years, new developments in mathematical optimisation and statistics have revolutionised system engineering, information science, signal and image processing, statistical error correction and cryptography.
This has created an urgent need, in both academic researches and in practical implementation, for a new generation of mathematicians trained to work at the frontiers of mathematical optimization, statistics and their applications to engineering, healthcare, finance and economics.
This programme is both technical and pragmatic. You will acquire the ability to integrate state-of-the-art knowledge of statistics and optimisation to address, analyse and provide a rational appraisal of a given problem in different professional contexts.
This is a multidisciplinary field that involves the study of mathematical optimisation techniques, operational research methods, programming and statistics with their applications to economics, finance, medicine, industrial management, natural sciences and others.
Researchers at the University of Birmingham have recently shown how modern optimisation and statistical methods are successfully applied to engineering design, financial and economical data analysis, meta-analysis, economic equilibrium, network communication, and combinatorial optimization.
Why study Mathematics, Operational Research, Statistics and Econometrics (MORSE) Masters at Birmingham?
Develop your mathematics, business, economics, science or engineering background within a broad range of professional areas in quantitative analysis
Acquire the ability to integrate the knowledge of statistics and optimisation to address, critically analyse and provide a rational appraisal of a problem
Learn to use software packages to perform statistical analysis and empirical studies
Focus on finding optimal solutions to optimisation problems in broader and challenging environments
Study at the School of Mathematics which is internationally recognised for the quality of our research in various fields
The course consists of 180 credits, two-thirds from taught modules (core modules are compulsory, plus choose four optional modules) and one-third from your research project.
Statistical Methods in Finance and Economics - 20 credits
MSc Project - 60 credits
Optional modulesChoose 100 credits. Examples of optional modules are listed below:
Advanced Management Mathematics - 20 credits
Advanced Mathematical Finance- 20 credits
Applied Statistics - 20 credits
Game Theory and Multicriteria Decision Making - 20 credits
Integer Programming and Combinatorial Optimisation - 20 credits
Linear Programming - 10 credits
Mathematical Finance - 20 credits
Medical Statistics - 20 credits
Nonlinear Programming I and Heuristic Optimisation- 20 credits
Numerical Methods & Programming - 10 credits
Please note: The modules listed on the website for this programme are regularly reviewed to ensure they are up-to-date and informed by the latest research and teaching methods.
The annual tuition fee for 2021/22
£9,500 for UK students
£19,440 for international students
How To Apply
International applicants requiring visasApplications to this programme from students who are international for fees will close July 2021 (to be confirmed). We will close applications as soon as the programme is full, early applications are encouraged.
UK and non-Tier 4 applicantsApplications will close in mid-September 2021 (to be confirmed). We will close applications as soon as the programme is full, early applications are encouraged.