|Study location||United Kingdom, Birmingham|
|Type||Master courses, full-time|
|Nominal duration||1 year|
Undergraduate diploma (or higher)
At least a Bachelor degree or postgraduate diploma from a UK university or equivalent. The degree must be in a relevant subject
The programme is for strong (First, Upper Second-class or equivalent) graduates from programmes in mathematics, or programmes with advanced mathematical components
The entry qualification documents are accepted in the following languages: English.
Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.
Upload documents in original language and translations. Take originals along when you go to study.
IELTS : Score 6.5 with no less than 6.0 in any band. Or Cambridge English(CAE): Advanced Minimum overall score of 176, with no less than 169 in any component.
Please note: TOEFL IBT test will not be accepted for September 2015 entry.
At least 2 reference(s) should be provided.
Two academic references (or if appropriate to the programme applied for, one could be from your employer).
Interested? To learn more about this study programme, entry requirements and application process, please contact one of our consultants in a country nearest to you.
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.
Introduction to Quantitative Finance
Exotic Options, Bonds and Further Quantitative Finance
Statistical Methods in Economics
Muticriteria Decision Making
Advanced Quantitative Finance: Crashes, Volatility, Multiple Assets and Hedging
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