MG461      Half Unit
Quantitative Analysis in Management

This information is for the 2017/18 session.

Teacher responsible

Mr Fabian Waldinger NAB.5.36 and Mr Revi Panidha


This course is compulsory on the Executive Global MSc Management, Global MSc in Management (CEMS MIM) and Global MSc in Management (MBA Exchange). This course is available on the MPhil/ PhD in Employment Relations & Org Behaviour and MPhil/ PhD in Management. This course is not available as an outside option.

Course content

Topics include random sampling, central limit theorem, hypothesis testing, simple and multiple linear regression (including ideas of confounding and statistical control), the use of dummy variables, interactions and non-linear effects of explanatory variables, collinearity, diagnostics and model development, introductory logistic regression modelling, fixed effects regression, regression discontinuity design, instrumental variables.


20 hours of lectures and 13 hours and 30 minutes of computer workshops in the MT. 2 hours of lectures in the ST.

Students on this course will have a reading week in Week 6 of MT, in line with departmental policy

Formative coursework

Weekly homework and data exercises with periodic formative feedback by Class Teachers. 250-word data analysis project.

Indicative reading

Agresti, A., & B. Finlay. (2009). Statistical Methods for the Social Sciences (Fourth Edition). Pearson.

Angrist, J. and S. Pischke (2015). Mastering Metrics. Princeton


Exam (85%, duration: 2 hours, reading time: 15 minutes) in the main exam period.
Project (15%, 500 words) in the MT.

The project is a data analysis project.

Key facts

Department: Management

Total students 2016/17: 114

Average class size 2016/17: 20

Controlled access 2016/17: Yes

Lecture capture used 2016/17: Yes (MT)

Value: Half Unit

Guidelines for interpreting course guide information

Personal development skills

  • Problem solving
  • Application of numeracy skills
  • Specialist skills