Big data and AI transform what organisations do and how they do it. This creates challenges for executives and managers. AI for Executives gives you insight in how to set the right course and how to steer your organisation through this transformation. The 1st module gives you a bird’s-eye view of data-driven business and emerging technologies. The 2nd module prepares you for a leading role in this transformation.
The programme is aimed at executives and senior managers leading their organisation, department or group in a world that is becoming more and more data-driven. The programme is suitable for executives in any profit or non-profit sector, and requires no prior knowledge of IT or analytics.
Reach out to us so for questions about this programme or our transportation and accommodation options. We respond within 3 business days.
Iris Kroese MA
Manager Executive Education
E: executive-education@uva.nl
T: +31 (0)6 1893 8203
This programme prepares you for decision-making actions needed in the short, medium and long run, either in big companies or smaller enterprises. You will receive tools that you can immediately apply to your daily practice.Sven Schlijper-Karssenberg – Lead Strategic Content & AI at ABN AMRO
After completing the programme, you will:
The programme AI for Executives is divided into 2 modules. You can choose to follow the first module (1 day) or both modules (4 days).
This module aims to give you a realistic overview of the world of data science, AI and digital technologies. You will understand emerging technologies, recognise new opportunities and be able to collaborate with data scientists on a professional level.
This module aims to prepare you for a leading role in the transition to data-driven working. Learn to design a suitable strategy and translate it into a roadmap and project portfolio. We also teach you how to win support for the transformation, and deal with possible barriers. At the end, you will understand how AI and data are transforming various functions in organisations and are aware of legal and governance conditions for data and analytics.
The course was well-structured and easy to follow, with a thoughtful pace that made even complex topics digestible.Charles Nixon, Mentor in residence at Cambridge Marketing College Read Charles' full review
Reinier van den Biggelaar is managing partner at BastaGroup and Director Data Science at ORTEC. He brings together digital-transformation expertise and strong mathematical and data-science skills. Reinier holds an MBA from Erasmus University and has worked with large organisations in the Benelux, including AkzoNobel, Shell, Heineken and Philips. He has been involved in many Internet of Things, AI and data projects. Reinier often teaches management teams about digital transformation and is happy to explain how digital and data can strengthen an organisation’s strategic position.
David Stephenson is an external lecturer at the University of Amsterdam and managing director at DSI Analytics. He helps organisations set up and improve data-science programmes and has worked with companies such as eBay, adidas, Het Financieele Dagblad, IKEA, ABN Amro, Sky, Miro and several smaller firms. David also supports teams with talent sourcing and training. He is a regular speaker at international conferences and has been programme chair for machine-learning events in the UK and the USA. He is the author of the best-selling book Big Data Demystified, translated into seven languages, and Business Skills for Data Scientists.
Mona de Boer is Partner Data & Technology at PwC Netherlands. She leads the team for Responsible AI and digital ethics. She also chairs NOREA’s Algorithm Assurance group. Mona teaches and does research at the University of Amsterdam, where she focuses on trustworthy AI and the EU AI Act.
| Programme | Tuition Fees | Duration |
| Module 1 | €1,490 | 1 day |
| Module 1 and 2 | €4,190 | 4 days |
*Fees are VAT-exempt.
UvA Alumni receive a 10% discount on the standard fee.
Sign up for our newsletter to get updates on the latest programmes and opportunities of the Amsterdam Business School.