The course

UCAS code
GGC3
Duration
Up to 4 years
Location
Edinburgh
Delivery type
Full-time

Contact

Overview

The Course

If you are looking for a career that offers the best pay of all the professions (and without the need to take postgraduate qualifications) and have an interest in science or engineering, then Financial Mathematics is the degree for you.Just as civil engineering deals with the design, construction and maintenance of buildings and roads, financial mathematics is concerned with the design, construction and maintenance of financial products.An explosion in the market of financial mathematicians occurred after the 1987 crash. Following the recent turmoil in the financial markets, investment banks are already planning to recruit more properly skilled mathematicians.

Teaching excellence and student satisfaction

95% of our 2015 graduates reported in the National Student Survey that they were satisfied overall with their course.

What Financial Mathematicians do

  • They manage financial risk and design new financial products
  • They are experts in deciding which assets to choose to fit the investment needs of their clients
  • They do this by analysing the past and modelling the future
  • They apply financial mathematics, probability, statistics, economics, and finance to solve problems in banking and investment

Read a press article about us in the Herald.

A feel for the work of financial mathematicians can be gained from the following websites:

Course content

   Detailed course guide
Year 1

Introduction to Statistical Science; Calculus; Algebra; Professional Development Planning; Finance; Economics and practical work.

Learning and teaching

  • Scheduled learning:29%
  • Independent study:71%
  • Placement:0%

Assessment

  • Written:56%
  • Practical:0%
  • Coursework:44%
Year 2

Probability and Statistics; Actuarial and Financial Mathematics; Linear Algebra; Real Analysis; Multivariate Calculus; Introduction to Numerical Methods and practical work.

Learning and teaching

  • Scheduled learning:30%
  • Independent study:70%
  • Placement:0%

Assessment

  • Written:83%
  • Practical:0%
  • Coursework:17%
Year 3

Portfolio Theory and Asset Models; Derivative Markets and Discrete-time Finance; Stochastic Processes; Statistical Modelling; Vector Analysis; Numerical Analysis; Bayesian Inference and Computational Methods.

Learning and teaching

  • Scheduled learning:30%
  • Independent study:70%
  • Placement:0%

Assessment

  • Written:74%
  • Practical:0%
  • Coursework:26%
Year 4

Advanced Derivative Pricing; Advanced Stochastic Processes; Risk Theory; and options of Optimisation; Partial Differential Equations or Measure Theory.

More in-depth information on the content of the courses listed above, how they are assessed and the learning outcomes can be accessed via our current student portal.

Learning and teaching

  • Scheduled learning:30%
  • Independent study:70%
  • Placement:0%

Assessment

  • Written:89%
  • Practical:0%
  • Coursework:11%

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