MMD011-Advanced Quantitative Methods for Business and Management

Module Provider: Leadership, Organisations and Behaviour
Number of credits: 20 [10 ECTS credits]
Level:NA
Terms in which taught: Spring term module
Pre-requisites:
Non-modular pre-requisites: linear algebra, probability theory, basics of statistical analysis, A-level math skills
Co-requisites:
Modules excluded:
Module version for: 2017/8

Module Convenor: Dr Maksim Belitski

Email: m.belitski@reading.ac.uk

Summary module description:

The module develops the ability to summarise and describe raw data, distinguish alternative methods of econometric analysis and effectively select the most appropriate econometric method for the problem-solving, analyse cross-section and panel data. The module also develops general team and leadership skills, analytical-report report writing skills and provides frontier experience in quantitative analysis for those students who wish to pursue careers in applied economic, business and management.


Aims:

The aim of the module is to develop specific skills in applied business and economic research by a mix of lectures, computer classes, and surgery hours where each topic is discussed in both methodology and application.


Assessable learning outcomes:

- Organise and analyse using econometric methods the statistical information and data.



- Interpret the results of econometric analysis and draw appropriate conclusions.



- Apply theoretical and empirical models to a real world context.



- Learn specialised statistical/econometric software such as STATA and Excel to perform econometric analysis.


Additional outcomes:

The module is an opportunity for students to plan and manage independently economic and business data. It will enhance their organisational, analytical and communication skills.


Outline content:

• Review of Probability and Statistics



• Linear Regression with One Regressor 



• Regression with a Single Regressor Hypothesis Tests and Confidence Intervals



• Regression with Multiple Regressors 



• Hypothesis Tests and Confidence Intervals in Multiple Regression



• Nonlinear Regression Functions



• Regression with Panel Data (Advantages and limitations of fixed and random effects regression)



• Factor Analysis


Brief description of teaching and learning methods:

Lectures including discussion of application of regression analysis



Tutorials: group work and software skills using Stata package


Contact hours:
  Autumn Spring Summer
Lectures 18
Seminars 12
Fieldwork 10
Guided independent study 160
       
Total hours by term 200.00
       
Total hours for module 200.00

Summative Assessment Methods:
Method Percentage
Written exam 100

Other information on summative assessment:

Formative assessment methods:

Q&A after each seminar and each lecture session 


Penalties for late submission:

The Module Convenor will apply the following penalties for work submitted late, in accordance with the University policy. 




  • where the piece of work is submitted up to one calendar week after the original deadline (or any formally agreed extension to the deadline): 10% of the total marks available for the piece of work will be deducted from the mark for each working day (or part thereof) following the deadline up to a total of five working days;

  • where the piece of work is submitted more than five working days after the original deadline (or any formally agreed extension to the deadline): a mark of zero will be recorded.



  • The University policy statement on penalties for late submission can be found at: http://www.reading.ac.uk/web/FILES/qualitysupport/penaltiesforlatesubmission.pdf

    You are strongly advised to ensure that coursework is submitted by the relevant deadline. You should note that it is advisable to submit work in an unfinished state rather than to fail to submit any work. 



The Module Convenor will apply the following penalties for work submitted late, in accordance with the University policy.
  • where the piece of work is submitted up to one calendar week after the original deadline (or any formally agreed extension to the deadline): 10% of the total marks available for the piece of work will be deducted from the mark for each working day (or part thereof) following the deadline up to a total of five working days;
  • where the piece of work is submitted more than five working days after the original deadline (or any formally agreed extension to the deadline): a mark of zero will be recorded.

  • The University policy statement on penalties for late submission can be found at: http://www.reading.ac.uk/web/FILES/qualitysupport/penaltiesforlatesubmission.pdf
    You are strongly advised to ensure that coursework is submitted by the relevant deadline. You should note that it is advisable to submit work in an unfinished state rather than to fail to submit any work.

    Length of examination:

    Two hours


    Requirements for a pass:

    A minimum mark of 40%


    Reassessment arrangements:

    By examination only, in August/September.


    Last updated: 24 July 2017

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