Prof Gregory Sorkin NAB.3.19

This course is compulsory on the MSc in Management, MSc in Management (CEMS MIM) and MSc in Management (MiM 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.

Management Science / Business Analytics topics including mathematical modelling and optimisation (particularly linear programming), Monte Carlo simulation and discrete event simulation, and other topics. Introduction to probability including conditional probability, Bayes’ theorem, and essential distributions.  Statistics topics including analysis of variance, 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, and introductory  logistic regression modelling.

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

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

S. Christian Albright, Wayne L. Winston (2014), Business analytics: data analysis and decision making, 5th edition

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

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

The project is a data analysis project.