Mathematics and Statistics for Accounting and Finance - BUSN3720

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Module delivery information

Location Term Level1 Credits (ECTS)2 Current Convenor3 2024 to 2025
Canterbury
Autumn Term 4 15 (7.5) Shan Lu checkmark-circle

Overview

Quantitative skills are a must-have if you want to work in the Big Four accounting firms, global banks or hedge funds. You'll understand basic mathematical statistical concepts from probability distributions to basic calculus – and develop the key analytics skills needed for accountants and financial professionals in today’s financial organisations.

Details

Contact hours

Total contact hours: 33
Private study hours: 117
Total study hours: 150

Method of assessment

Main assessment methods:
VLE MCQ Test - Maths (15%)
VLE MCQ Test - Stats (15%)
Examination, 2 hours (70%)

Reassessment method;
100% exam

Indicative reading

Morris, C. (2011) Quantitative Approaches in Business Studies (8th ed.), London: FT Prentice Hall

Swift, L. and Piff, S. (2014) Quantitative Methods for Business, Management and Finance, (4th ed.), Andover: Palgrave Macmillan

Waters, D. (2011) Quantitative Methods for Business (5th ed.), London: FT Prentice Hall

See the library reading list for this module (Canterbury)

Learning outcomes

The intended subject specific learning outcomes.
On successfully completing the module students will be able to:
Recognise and recall the range of quantitative concepts, tools and techniques that are useful in solving everyday problems in business, management and accounting.
Represent problems in a mathematical/statistical form to aid decision making.
Apply quantitative techniques in the solution of problems.
Assess the strengths and weaknesses of a problem with regards to its business, management and accounting context.

The intended generic learning outcomes.
On successfully completing the module students will be able to:
Analyse quantitative information.
Process quantitative information from various sources to develop independent conclusions
Effectively manage own use of the time, tools and resources required to analyse and solve a problem of a quantitative nature.
Express arguments, explanations, evaluations and conclusions effectively in writing

Notes

  1. Credit level 4. Certificate level module usually taken in the first stage of an undergraduate degree.
  2. ECTS credits are recognised throughout the EU and allow you to transfer credit easily from one university to another.
  3. The named convenor is the convenor for the current academic session.
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