Kostis Christodoulou
Adjunct 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.
- kchristodoulou@london.edu
- +44 (0)20 7000 8815
- 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.
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Masters Degrees core courses
A key part of our Masters programmes curriculum.
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Applied Statistics
Applied Statistics -
Data Analytics for Finance
Data and Time Series Analytics PROGRAMMES WITH THIS CORE COURSE
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Data Analytics for Management
Data Analytics for Management PROGRAMMES WITH THIS CORE COURSE
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Data Analytics for Managers
Data Analytics for Managers PROGRAMMES WITH THIS CORE COURSE
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Data Visualisation and Story Telling
Data Visualisation and Story Telling PROGRAMMES WITH THIS CORE COURSE
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Applied Statistics
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Masters Degrees electives
Optional courses providing a deep dive into specialist areas.
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Data Science with R
Data science enables the extraction of useful knowledge and business value from complex data collections. This will be a coding-focused course in R, with equivalent code in Python. The main goal is not to teach the technical aspects of algorithms but to focus on the application of useful tools and the issues that arise using real-world examples. These tools should be useful for students who want to build careers in data-intensive industries. On completing the elective, participants will master data manipulation and visualization and explore a spectrum of machine learning methodologies. In addition, we will learn how to scrape the web to harvest data, how to connect to and work with databases (SQL, Apache Arrow) with massive (1.7 billion rows) data sets, and how to work with geospatial data to create maps and perform GIS operations. PROGRAMMES WITH THIS ELECTIVE
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No Code Data Science (with Tableau and Alteryx)
In this course students delve deep into the world of data analytics without writing a single line of code. Through compelling case studies and real-world datasets, participants will master advanced visualization techniques and explore a spectrum of machine learning methodologies, from supervised and unsupervised learning to text classification and predictive analytics. With hands-on sessions using powerful tools like Tableau and Alteryx, students will emerge with a robust analytical toolkit, ready to tackle large datasets with confidence. PROGRAMMES WITH THIS ELECTIVE
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Data Science with R