BSc Mathematics and Economics

UCAS Code: GL11

EurosThis degree is designed for those who wish to develop their mathematical skills in areas relevant to economics. It provides a broad training in both mathematics and economics. The core of the mathematical content consists of analysis, linear algebra, numerical analysis and variational calculus, while in economics the main areas are microeconomics, macroeconomics, business and economic forecasting and applied econometrics.

Our graduates are well-qualified for quantitative economic forecasting.

Transferable skills

The University's Strategy for Teaching and Learning has identified a number of generic transferable skills which all students are expected to have developed by the end of their degree programme. By the end of the programme students are expected to have gained experience and show competence in the following transferable skills: IT (word-processing, using mathematics, econometric and standard software), scientific writing, oral presentation, team-working, problem-solving, use of library resources, time-management, and career management and planning.

Modules

The BSc Mathematics and Economics core modules are:

Year 1

Analysis I
Calculus Methods
Vectors and Matrices
Ordinary Differential Equations I
Principles of Microeconomics
Principles of Macroeconomics
Introductory Quantitative Techniques

Year 2

Analysis II
Ordinary Differential Equations II
Partial Differential Equations I
General Skills
Intermediate Microeconomics
Intermediate Macroeconomics

Year 3

Complex Analysis I
Vector Calculus
Numerical Methods
Advanced Microeconomics
Advanced Macroeconomics

 

Optional modules in Year 3 can be chosen from a varied list of mathematics and economics topics. More information on the modules we offer can be obtained from the Mathematics and Statistics modules page.

Further information

A full programme specification can be obtained via the main Programme specifications for undergraduate programmes page, which includes further details of the programme structure.

Whilst the University of Reading makes every effort to ensure that the contents and statements made in this publication are fair and accurate, it can accept no liability for omissions, errors or subsequent changes.

The statements made and information provided are a general guide and there may be changes following publication which affect the contents.

Programmes or modules may be altered or withdrawn without notice and assessment arrangements may be changed.

Things to do now

Contact us

  • Email:
    maths@reading.ac.uk

  • Telephone:
    +44 (0) 118 378 8996

  • Fax:
    +44 (0) 118 931 3423

  • Department of Mathematics and Statistics, Whiteknights, PO Box 220, Reading RG6 6AX, UK

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