The course

UCAS code
GGD3
Duration
Up to 4 years
Location
Edinburgh
Delivery type
Full-time

Contact

Overview

This programme combines material taught within the Mathematics and Actuarial Science programmes into a programme that includes specialist actuarial and statistical skills as well as a wide-ranging approach to other areas of advanced mathematics. Year one comprises core topics in algebra, calculus and statistics with an introduction to finance and economics. Year two builds upon and adds to this by introducing topics in actuarial science. The third and fourth years offer a range of options allowing students to choose the combination which best reflects their interests. Up to seven actuarial professional exemptions may be obtained by a good performance.

Teaching excellence and student satisfaction

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

Course content

   Detailed course guide
Year 1

Has been designed to ease the transition from school to university. Students take courses in calculus and algebra which continue the development of these subjects already studied in school while also taking courses on statistics, economics and finance.

Learning and teaching

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

Assessment

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

You will continue your study of calculus, algebra, and statistics taking courses in multivariable calculus and real analysis, linear algebra, and probability and statistics. Additionally, you will start to studying actuarial and financial mathematics and numeric analysis.

Learning and teaching

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

Assessment

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

You will study abstract algebra, ordinary differential equations and statistical modelling. You will also have the opportunity to study a wide range of options including life insurance mathematics, stochastic processes, survival models, vector analysis, complex analysis, numerical analysis and other topics in pure and applied mathematics.

Learning and teaching

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

Assessment

  • Written:72%
  • Practical:0%
  • Coursework:28%
Year 4

All courses are optional in this year and you can choose from life insurance mathematics, pension funds, life office practice, statistics for social science, bayesian inference, risk theory, time series, optimisation, partial differential equations, mathematical biology, functional analysis, geometry, numerical analysis and other topics in pure and applied mathematics.

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:95%
  • Practical:0%
  • Coursework:5%

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