Study location	United Kingdom, Birmingham
Type	Master courses, full-time
Nominal duration	1 year
Study language	English
Awards	Masters/Msc

Entry qualification

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.

Language requirements	English Accepted proof of proficiency: FCE, CAE or CPE, IELTS 6.5+ or TOEFL 90+ 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.

Other requirements	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).

More information	birmingham.ac.uk/...aspx#CourseOverviewTab

Overview

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.

Programme structure

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.

Compulsory modules:

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):

Fundamentals: Databases
Intelligent Data Analysis (Extended)
LM Heuristic Optimisation
Numerical Methods in Linear Algebra

Career opportunities

Examples of employers

Aon Hewitt
Barnett Waddingham
Capita
Deloitte
Deutsche Bank
Ernst & Young
Mercer
PricewaterhouseCoopers
Softcat
Tudor Grange Academy School

Examples of occupations

Actuarial Trainee
Actuarial Consultant
Actuary
Analyst
Associate Auditor
Consultant
Financial Analyst
Management Accountant
Secondary School Teacher
Software Tester

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
MSc Statistics
PGCE Mathematics
PhD Applied Mathematics