School of Computing & Mathematical Sciences, University of Greenwich, London/ United Kingdom

B.Sc. Financial Mathematics

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 maths, and financial econometrics. 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.

Description

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 maths, and financial econometrics. 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).

The aims of the programme are:

  • To provide students with a good understanding of financial mathematics and the methods and techniques used in the area
  • To provide experience of mathematical modelling in various contexts, focusing on financial modelling and actuarial analysis
  • To enable students to develop an understanding of modern financial modelling and examines the basic techniques used in the analysis of financial data.
You can find more information about this programme on the programme website I want to find another Bachelor programme

Detailed Course Facts

Tuition fee
  • GBP 9000 Year (EEA)
  • GBP 10350 Year (Non-EEA)

EU/Home: £9,000 International: £10,350

Scholarships available - please see our website www.gre.ac.uk/scholarships

Start date September  2015
Duration full-time 36  months
Languages Take an IELTS test
  • English
Delivery mode On Campus
Educational variant Part-time, Full-time

Course Content

Year 1

  • 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

  • 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)

Optional Sandwich Year (Work Placement)

Final Year

  • Research Methods and Mathematics Project OR UAS: Mathematics Education and Communication (teaching experience through the Undergraduate Ambassador Scheme) OR Mathematics Work Placement (30 credits)
  • Modelling and Analysis of Financial Instruments (15 credits)
  • Actuarial Mathematics and Risk Modelling (15 credits)
  • Financial Time Series (15 credits)
  • Three 15-credit options from: Advanced Statistical Models; Coding and Cryptography; Dynamical Systems and Chaos; Graph Theory and Combinatorics; Industrial Applied Mathematics; Mathematics and Society; Mathematics of Decision Making; Mathematics for the Life Sciences; Methods for Non-linear Mathematics; Models and Algorithms for Scheduling; Numerical Solution of Partial Differential Equations; Optimisation Techniques; Real Analysis; Statistical Models (45 credits)

English Language Requirements

To study at this university, you have to speak English. We advice you to

take an IELTS test.
More About IELTS

Requirements

Applicants should have:

A minimum of 300 UCAS points

FROM subjects studied at A-level or equivalent qualifications, including at least 80 points from mathematics studied to A-level or equivalent.

PLUS GCSEs in English and mathematics at grade C or above, or equivalent qualifications such as key skills level 2.

• Applications from students taking Access to Higher Education courses are welcome

Work Experience

No work experience is required.

Accreditation

This programme will meet the educational requirements of the Chartered Mathematician designation, awarded by the Institute of Mathematics and its Applications, when it is followed by subsequent training and experience in employment to obtain equivalent competences to those specified by the Quality Assurance Agency (QAA) for taught masters degrees.

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