Skip to main content

Unit information: Mathematical and Statistical Methods in 2023/24

Please note: It is possible that the information shown for future academic years may change due to developments in the relevant academic field. Optional unit availability varies depending on both staffing, student choice and timetabling constraints.

Unit name Mathematical and Statistical Methods
Unit code EFIM10008
Credit points 20
Level of study C/4
Teaching block(s) Teaching Block 1 (weeks 1 - 12)
Unit director Dr. Mike Peacey
Open unit status Not open
Units you must take before you take this one (pre-requisite units)

A-level Mathematics (or equivalent)

Units you must take alongside this one (co-requisite units)


Units you may not take alongside this one


School/department School of Economics
Faculty Faculty of Social Sciences and Law

Unit Information

The study of economics requires students to use mathematical techniques to model agents’ behaviour, and to use statistical tools to, for example, analyse the impact of economic policy. This unit provides the basic mathematical tools that students will require to study economics units, and the statistical foundations required to analyse economic data. Topics covered will include an introduction to:

  • Univariate and multivariate calculus
  • Partial differentiation
  • Optimisation
  • Constrained optimisation
  • Integration
  • Probability

Basic statistics including the fundamentals of hypothesis testing

Your learning on this unit

Students will be able:

  1. To manipulate mathematical formulae to obtain solutions to well-defined problems;
  2. To understand how mathematical notation can be used to make economic and statistical problems more precise
  3. To interpret economic or statistical problems and analyse these using appropriate mathematical techniques and to evaluate solutions.

How you will learn

Teaching will be delivered through a combination of large and small group classes, supported by online resources

How you will be assessed

  • Mathematics problem-based assignment (25%)
  • Probability/Statistics-based assignment (25%)
  • 1.5 hour exam (50%)

Each assessment assesses all learning outcomes


If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.

If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. EFIM10008).

How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours of study to complete. Your total learning time is made up of contact time, directed learning tasks, independent learning and assessment activity.

See the Faculty workload statement relating to this unit for more information.

The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit. The Board considers each student's outcomes across all the units which contribute to each year's programme of study. If you have self-certificated your absence from an assessment, you will normally be required to complete it the next time it runs (this is usually in the next assessment period).
The Board of Examiners will take into account any extenuating circumstances and operates within the Regulations and Code of Practice for Taught Programmes.