Postgraduate degree course in Mathematics, Operational Research, Statistics and Econometrics (MORSE) Masters/MSc:
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. The programme produces highly qualified students in statistics, operations research and econometrics with applications to economics and business management. The programme provides ideal preparation for a career in economics, health care, finance, banking, insurance, actuarial science, business management, governmental or academic institutions.
To be accepted onto this programme a high standard in a mathematically-based undergraduate degree must have been achieved, equivalent to a UK upper second or first class degree.
In the recent years, mathematical optimization and statistics have experienced significant new developments. With these developments, the system engineering, information science, signal and image processing, statistical error correction and cryptography are being revolutionised.
This has created urgent need, in both academic research 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.
Researchers at the University of Birmingham have recently shown how the modern optimization and statistical methods are successfully applied to engineering design, financial and economical data analysis, meta-analysis, economic equilibrium, network communication, and combinatorial optimization.
- Linear Programming
- Integer Programming
- Applied Statistics
- Introduction to Quantitative Finance
- Exotic Options, Bonds and Further Quantitative Finance
- Statistical Methods in Economics
- Research Skills
- MSc dissertation
- Statistical Inference
- Medical Statistics
- Combinatorial Optimization
- Nonlinear Programming
- Muticriteria Decision Making
- Advanced Quantitative Finance: Crashes, Volatility, Multiple Assets and Hedging
- Conic Optimization
- Game Theory
Tuition fees for 2016/17 are as follows:
£7,200 for home/EU students
£14,850 for international students
Scholarships and studentships
Scholarships may be available. International students can often gain funding through overseas research scholarships, Commonwealth scholarships or their home government.
For further information contact the School directly or email email@example.com.
See also postgraduate fees and funding.
To be accepted onto this programme you should have a high standard (1st, 2.1 or equivalent) undergraduate degree in mathematics, statistics, industrial engineering or programmes with strong mathematical component, e.g. economics degree with mathematics, who wish to work in interdisciplinary research at the interfaces of mathematics, optimization, computing, statistics and econometrics.
Learn more about international entry requirements
When clicking on the Apply Now button you will be directed to an application specifically designed for the programme you wish to apply for where you will create an account with the University application system and submit your application and supporting documents online. Further information regarding how to apply online can be found on the How to apply pages
In the Autumn and Spring semesters, you will take masters-level courses in both advanced theory and applications of operational research, optimization and statistics, as well as the courses in modern computational techniques and data analysis.
In the summer you will undertake a research project, working with research leaders in optimization, statistics and econometrics, alongside mathematics and computation. These courses and project will provide relevant training in quantitative analysis together with multidisciplinary research and communication, a transferable skill, for whichever career path the MSc (MORSE) leads you to.
This programme gives comprehensive training in operational research, statistics and econometrics and is an ideal preparation for a career in economics, medicine, finance, insurance and industrial management. In the United Kingdom, there is a shortage of personnel who are highly qualified in statistics and operational research. This shortage is predicted to increase in the future.
University Careers Network
Preparation for your career should be one of the first things you think about as you start university. Whether you have a clear idea of where your future aspirations lie or want to consider the broad range of opportunities available once you have a Birmingham degree, our Careers Network can help you achieve your goal.
Our unique careers guidance service is tailored to your academic subject area, offering a specialised team (in each of the five academic colleges) who can give you expert advice. Our team source exclusive work experience opportunities to help you stand out amongst the competition, with mentoring, global internships and placements available to you. Once you have a career in your sights, one-to-one support with CVs and job applications will help give you the edge.
If you make the most of the wide range of services
you will be able to develop your career from the moment you arrive.
Destinations of Leavers from Higher Education (DLHE) 2011/12
The DLHE survey is conducted 6 months after graduation.
Examples of employers
Ernst & Young
Tudor Grange Academy School
Examples of occupations
Secondary School Teacher
Further study-examples of courses
ACA - Accountancy
ACCA - Accountancy
MSc Accounting and Finance
MSc Actuarial Science
MSc Computing Systems
MSc Finance and Investment
MSc Operational Research
PhD Applied Mathematics
Visit the Careers section of the University website for further information.