Study location	United Kingdom, London (Greenwich Campus)
Type	Bachelor courses, full-time
Nominal duration	3 years
Study language	English
Awards	BSc Hons
Course code	GN13

Tuition fee	To be confirmed

Entry qualification	High school / secondary education (or higher) Good exam results in Mathematics 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.

Language requirements	English IELTS: 6.0 (with a minimum of 5.5 in each band) CAE: 169 overall

Other requirements	At least 1 reference(s) must be provided. A motivation letter must be added to your application. Applicant may be invited to an interview.

More information	Expenses, accommodation, working etc. gre.ac.uk/ug/ach/n390

Overview

The analysis of modern financial market data relies heavily on mathematical and statistical techniques. Mathematical techniques and tools devised using financial mathematics have contributed greatly to the development of the financial services industry and continue to play a key role in this sector. This programme starts with a firm foundation to the mathematics and statistics that is in daily use in the financial industry. It then leads to advanced studies in financial mathematics, including asset price modelling, the risk-neutral pricing of financial derivatives, time series analysis, actuarial mathematicss, and financial time series. This prepares graduates with relevant mathematical and statistical backgrounds to enter careers in the financial services industry, actuarial and insurance sectors or further study in financial mathematics.

The final year includes an advanced project on a topic in financial mathematics. In response to increased student interest, we also offer courses such as Mathematics and Society and Mathematics Education and Communication. The latter offers teaching experience through the Undergraduate Ambassadors Scheme (UAS).

Programme structure

Year 1
Students are required to study the following compulsory courses.

Advanced Calculus and Mathematical Methods (30 credits)
Mathematical Technology and Thinking (30 credits)
Discrete Mathematics and Combinatorics (30 credits)
Probability and Statistical Analysis (30 credits)

Year 2
Students are required to study the following compulsory courses.

Linear Algebra and Applications (30 credits)
Numerical Mathematics and Computer Algorithms (30 credits)
Operational Research for Industry (30 credits)
Statistical Methods and Time Series Analysis (30 credits)

Year 3
Students are required to study the following compulsory courses.

Actuarial Mathematics and Risk Modelling (15 credits)
Modelling and Analysis of Financial Instruments (15 credits)
Financial Time Series (15 credits)

Students are required to choose 30 credits from this list of options.

Research Methods and Mathematics Project (30 credits)
UAS: Mathematics Education and Communication (30 credits)
Mathematics Work Placement (30 credits)

Students are required to choose 15 credits from this list of options.

Numerical Solution of PDEs (15 credits)
Optimisation Techniques (15 credits)
Models and Algorithms for Scheduling (15 credits)
Mathematics for the Life Sciences (15 credits)
Graph Theory and Applications (15 credits)
Coding and Cryptography (15 credits)
Mathematics of Data Analytics (15 credits)
Mathematics of Decision Making (15 credits)
Statistical Models (15 credits)

Students are required to choose 30 credits from this list of options.

Optimisation Techniques (15 credits)
Models and Algorithms for Scheduling (15 credits)
Mathematics of Data Analytics (15 credits)
Mathematics of Decision Making (15 credits)
Statistical Models (15 credits)

Career opportunities

You may choose to look for work in the financial services industry, or actuarial and insurance sectors, or find opportunities in banking and investment, insurance, risk analysis, or a number of related fields. You may also be in demand in other traditional industries and businesses.