SOAS University of London

School of Finance and Management

Quantitative and analytical techniques for managers

Module Code:
Year of study:
Year 1
Taught in:
Term 2
This course provides an introduction to the use of quantitative and analytical techniques in management research. It deals with the formulation of research hypothesis and the application of statistical methods to test hypotheses. The course covers, basic probability theory, hypothesis testing, bivariate analysis, linear regression, multiple linear regression, autocorrelation and heteroskedasticity, non-linear regression and regression models for binary and qualitative data. The course includes practical sessions using statistical packages.   
Module sign-up information for non-departmental open option students
  • Required approval: Approval is required from the Law and Social Sciences Faculty Office
  • Required pre-requisite module(s): None
  • Year of study: 2
  • Maximum number of non-departmental students permitted per year: 10
  • Weekly timetable: One lecture (2 hours) and one tutorial (1 hour)

    Further information on open option modules can be found here

Objectives and learning outcomes of the module

At the end of this course students should be able to:

  • Demonstrate knowledge of hypothesis formulation and specification;
  • Understand basic probability theory and its application to econometrics;
  • Apply and interpret the classical linear regression model to time series and cross section data;
  • Understand the assumptions of the classical linear model and the effects of violation of the assumptions;
  • Apply diagnostic tests;
  • Understand the problems of multicollinearity; heteroscedasticity and autocorrelation;
  • Use and interpret models/techniques that correct for autocorrelation, heteroscedasticity and multicollinearity;
  • Use and interpret regression models for qualitative and binary data;
  • Understand the distinction between correlation and causation and of the problem of simultaneity;
  • Show an appreciation of the limitations of quantitative analysis applied to complex systems of relationships that characterise many management and economic problems.

Method of assessment

This course is assessed by 30% written coursework and 70% by one two hour examination

Suggested reading

Indicative Readings:

  • Dougherty, C (2006) Introduction to Econometrics, 3rd Edition, Oxford University Press, Oxford
  • Wooldridge, J (2007) Introductory Econometrics: A Modern Approach, Thompson, International Edition, Thompson, London
  • Dewhurst, F (2006) Quantitative Methods for Business and Management, 2nd Edition, McGraw-Hill, London
  • Swift, L and Piff, S (2005) Quantitative Methods for Business, Management and Finance, 2nd Edition, Palgrave Macmillan, London
  • Oakshott, L (2006) Essential Quantitative Methods for Business, Management and Finance, 3rd Edition, Palgrave Macmillan

Supplementary Readings:

  • Gujurate, D (2005) Essentials of Econometrics, 3rd Edition, McGraw-Hill, London
  • Oakshott, L (2006) Essential Quantitative Methods for Business, Management and Finance, 3rd Edition, Palgrave Macmillan, London
  • Saunders, M, Thornhill, A and Lewis, P (2007) Research Methods for Business Students, Prentice Hall, London
  • Walters, D (2007) Quantitative Methods for Business, 4th Edition, Prentice Hall, London
  • Hair, J, Money, A, Samouel, P and Page, M (2007) Research Methods for Business, John Wiley & Sons, Chichester
  • Gujurate, D (2002) Basic Econometrics, 4th Edition, McGraw-Hill, London
  • Larson, R and Marx, M (2005) Introduction to Mathematical Statistics and Its Applications, 4th Edition, Pearson, Harlow


Important notice regarding changes to programmes and modules