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Mathematics For Economists

Key information

  • Module code:

    5SSPP232

  • Level:

    5

  • Semester:

      Autumn

  • Credit value:

    15

Module description

This module will introduce students to the mathematical tools most commonly used in economics. The focus will be in analysis and linear algebra, particularly on the topics that are most used in economics. Examples will be drawn from economics and political economy. Topics covered will include differentiation and partial differentiation, constrained and unconstrained optimisation, and an introduction to linear algebra. 

Assessment details

midterm exam (30%), final exam (70%)

Educational aims & objectives

Educational Aims:

  • teach students the mathematical tools most commonly used in economics;
  • show students how our understanding of economic concepts can be made more precise through their mathematical formulation;
  • enable students to write their own economic models;
  • topics covered will include differentiation, optimisation, further topics in calculus and linear algebra;
  • provide students with the mathematical background that will prepare them for the more mathematical of the level 6 optional modules.

Learning outcomes

By the end of the course the students will be able to:

  • read papers recently published in international journals in economics;
  • appreciate how mathematics can help make economics concepts clearer and more precise;
  • write their own mathematical models;
  • use the mathematical tools that are necessary to write a formal theory dissertation;

Department

Module description disclaimer

King’s College London reviews the modules offered on a regular basis to provide up-to-date, innovative and relevant programmes of study. Therefore, modules offered may change. We suggest you keep an eye on the course finder on our website for updates.

Please note that modules with a practical component will be capped due to educational requirements, which may mean that we cannot guarantee a place to all students who elect to study this module.

Please note that the module descriptions above are related to the current academic year and are subject to change.