Quantitative Methods - BUSN8022

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Module delivery information

Location Term Level1 Credits (ECTS)2 Current Convenor3 2024 to 2025
Autumn Term 7 15 (7.5) Nikolaos Voukelatos checkmark-circle


Quantitative skills are as important as ever in finance. As the financial landscape becomes more complex, how can we make intuitive sense of financial data and their statistical analysis? By focusing on practical applications using real market data, you'll develop the quantitative skills required in today's information-driven finance sector. Learn how to go beyond calculations and focus on making real sense of financial data and their quantitative analysis to give you the skill set needed for a successful career in finance.


Contact hours

Total contact hours: 37
Private study hours: 113
Total study hours: 150

Method of assessment

Main assessment methods:
Individual Empirical Report (3000 words) (40%)
Examination, 2 hour (60%).

Reassessment method:
100% Exam

Indicative reading

Required Reading:

Brooks, C. (2008) Introductory Econometrics for Finance, 2nd edition, Cambridge University Press

Gujarati, D.N. (2009) Basic Econometrics, 5th Edition, McGraw-Hill, New York and London

Supplementary Reading:

Anderson, D.R., Sweeney, D.J., Williams, T.A., Freeman, J. and Shoesmith, E. (2010), Statistics for Business and Economics (2nd edition), London: Cengage

Green, W.H. (2011) Econometric Analysis (7th edition), Harlow: Pearson

Watsham, T. and Parramore, K. (2007), Quantitative Methods in Finance, London: Thomson Learning

See the library reading list for this module (Canterbury)

Learning outcomes

The intended specific learning outcomes:
On successfully completing the module students will be able to:
- Demonstrate knowledge and understanding of the use of quantitative techniques for application to problems in a finance context.
- Demonstrate an ability to undertake statistical investigation of financial data.
- Identify and select appropriate statistical techniques to apply to issues within a finance context.
- Apply quantitative techniques for solving problems within a finance context.
- Analyse and interpret results derived from statistical models.
- Demonstrate proficiency band competency in numeracy skills.

The intended generic learning outcomes.
On successfully completing the module students will be able to:
- Analyse compare, discuss, and critically evaluate various statistical methods.
- Plan work, use relevant sources and study independently.
- Work in groups, listen, respond to different points of view and negotiate outcomes. Ability to receive and use criticism and advice.
- Select appropriate formats for presentation of work, which includes the acknowledgement and reference of sources.
- Analyse structured and unstructured problems.


  1. Credit level 7. Undergraduate or postgraduate masters level module.
  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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