|Location||United Kingdom, Birmingham|
|Type||Master courses, full-time|
|Nominal duration||1 year|
|Tuition fee||To be confirmed|
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).
MSc Financial Engineering is a multi-disciplinary field that involves the application of the computational engineering, software engineering, and computer programming skills, as well as the underlying mathematical and statistical theories to the analysis and management of financial opportunities. Students will receive the most advanced computational and programming techniques which help them advance quickly in the field.
Financial engineering is a multi-disciplinary field that involves the application of computational engineering, software engineering, and computer programming skills, as well as the underlying mathematical and statistical theories to the analysis and management of financial opportunities.
The programme is for strong (1st, 2.1 or equivalent) graduates from programmes in mathematics, or programmes with advanced mathematical components, and who wish to pursue a career in quantitative analysis in economic or financial sectors with state-of-art mathematical methods, computational skills and programming expertise.
LM Exotic Options, Bonds and Further Quantitive Finance
LM Introduction to Quantitive Finance
LM Advanced Quantitive Finance: Crashes, Volatility, Multiple Assets and Hedging
LM Computational Methods and Programming
LM Financial Engineering Project
LM Game Theory
LM Research Skills
Statistical Methods in Finance and Economics
Optional modules (choose one):
Intelligent Data Analysis (Extended)
LM Heuristic Optimisation
Numerical Methods in Linear Algebra
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