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Quantitative Methods - ECO00022C

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  • Department: Economics and Related Studies
  • Module co-ordinator: Dr. Jack Britton
  • Credit value: 20 credits
  • Credit level: C
  • Academic year of delivery: 2024-25
    • See module specification for other years: 2023-24

Module summary

This module will provide the grounding in mathematics and statistics that is essential for progression onto further economics courses, and more generally for any form of empirical work in economics, business, or social sciences.

Module will run

Occurrence Teaching period
A Semester 2 2024-25

Module aims

1. To introduce some of the ways in which mathematics is used in the study of economics, and to ensure sufficient grounding for the mathematical aspects of core economics modules in later stages of the degree.

2. To introduce techniques of statistical inference that are routinely used in solving problems in economics, business, and other social sciences. Students will be provided with a foundation for intermediate econometric and statistical modules offered in later stages of the degree.

Module learning outcomes

Familiarity with the main mathematical techniques used in economics, including a review of algebra, sequences and series, differential and integral calculus, partial differentiation and constrained optimisation.

Working understanding of statistical concepts of populations, samples and sampling distributions; the ability to describe and apply procedures for estimating quantities of interest and testing claims about such quantities; the ability to describe the role of correlation and simple regression in analysing the relationship between two variables, and apply these tools and discuss empirical results.


Task Length % of module mark
Closed/in-person Exam (Centrally scheduled)
Closed exam : Quantitative Methods
3 hours 80
Online Exam -less than 24hrs (Centrally scheduled)
Open exam: VLE Test : Quantitative Methods
N/A 20

Special assessment rules


Additional assessment information

Self marking exercises will be available; answers will be provided to the problem sets and gone through carefully in seminars; example questions in lectures.


Task Length % of module mark
Closed/in-person Exam (Centrally scheduled)
Closed exam : Quantitative Methods
3 hours 80

Module feedback

They will get answers to the problem sets in the seminars that will provide content for the quizzes. They will get feedback via their scores in the quizzes. They will be able to ask in seminars / office hours if they don’t understand an answer. Quiz questions will resemble the questions in the final exam.

Indicative reading

Geoff Renshaw; Maths for Economics, Oxford University Press

John Freund's mathematical statistics with applications

One of the many A level mathematics text books (e.g. Crawshaw and Chambers, Advanced Level Statistics)

The information on this page is indicative of the module that is currently on offer. The University is constantly exploring ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary by the University. Where appropriate, the University will notify and consult with affected students in advance about any changes that are required in line with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.