Developments in mathematical optimisation and statistics have revolutionised system engineering and has 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 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.
This programme is both technical and pragmatic. Students 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 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.
Level | Masters |
Discipline | Mathematics |
Duration | 12 months |
Intakes | Jan, Sep |
Application Fees | GBP 0 |
Tuition Fees | GBP 21150 |
Campus | Edgbaston |
Language proficiency (minimum) | |
IELTS | 6 |
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TOEFL | 80 |
PTE | 64 |
Duolingo | Not Accepted |
Exam proficiency (minimum) | |
SAT | Not Required / Waiver |
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ACT | Not Required / Waiver |
GRE | Not Required / Waiver |
GMAT | Not Required / Waiver |
Minimum GPA - 75.0%
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