Kostis Christodoulou

Adjunct Associate Professor of Management Science and Operations

BA (Swarthmore College) MSc (London School of Economics) PhD (London Business School)

Kostis Christodoulou was previously the Finance Director at Curzon Consulting Private Equity and a Visiting Professor at Università della Svizzera italiana, American College of Greece and ESMT. He has a PhD from London Business School, an MSc from London School of Economics and Political Science and a BA from Swarthmore College.

He has been teaching courses on Data Analytics, Decision and Risk Analysis, and Financial Modelling since 1998 to students and business executives at LBS, Cass, the American College of Greece, Università della Svizzera italiana, and ESMT.

He holds non-executive directorships at a private equity firm and in an alternative investment fund manager in Greece. He has extensive experience in entrepreneurial companies: he has served as CFO and an investor, and has managed both high-growth situations and restructured established firms in mature industries.

As a consultant, he has worked for companies in telecoms and digital media, banking and fund management. He sat on the board of the Greek Energy regulator from 2007 to 2009.
His research interests include regulation, big data and decision making, and his research has been published in Telecommunications Policy, the Journal of the Operational Research Society, and Technological Forecasting & Social Change.



  • Regulations
  • Big data
  • Decision making

1999

Using object oriented simulation to explore substitution between technologies: an application to the UK mobile telecommunications industry

Christodoulou K,Jensen K,Vlahos K

Technological Forecasting and Social Change 1999 Vol 62:3 p 203-217


Teaching portfolio

Our teaching offering is updated annually. Faculty and programme material are subject to change.

 

Core courses

  • Applied Statistics
  • Business Analytics
  • Data Analytics for Finance
  • Data Analytics for Management
  • Data Analytics For Managers
  • Data Visualisation & Story Telling
  • Decision and Risk Analysis
  • Introduction to Python for Data Science
  • Introduction to R for Data Science