School of Business and Management

BUSM130 Group Project in Business Analytics


3 (2017/18)



Module organiser

Dr Georg von Graevenitz

Module overview

This module is the capstone module for the MSc in Business Analytics. Students will work in groups and will be required to provide analysis of a problem or question using complex data from a business context. Each group will be assigned a mentor who will guide the group through the process of structuring the analytical problem, obtaining and organising the data, data analysis and presentation of results.

Students will present initial results as a group to an audience consisting of mentors and practitioners. Final assessment of the module will then be based on individual essays which cover specific aspects of the case and in which the students will be required to reflect on their work in the light of the methods and theories which their learning in the MSc has touched upon.


40% coursework and 60% coursework

Indicative reading list


  • Few, S., 2012. Show me the numbers. Analytics Press

  • Foreman, J.W., 2013. Data smart: using data science to transform information into insight. John Wiley & Sons.

  • Grus, J., 2015. Data Science from Scratch: First Principles with Python. " O'Reilly Media, Inc.".

  • Provost, F. and Fawcett, T., 2013. Data Science for Business: What you need to know about data mining and data-analytic thinking. " O'Reilly Media, Inc.".

  • Tufte, E.R. and Graves-Morris, P.R., 1983. The visual display of quantitative information (Vol. 2, No. 9). Cheshire, CT: Graphics press.