Artificial Intelligence will without any doubt change the way we will do business in future. As a matter of fact, it is already changing many businesses that we are involved in today. But what is needed to make Artificial Intelligence a valuable part of the way we do business ourselves? Many experts believe that successful Artificial Intelligence applications hinge on the so-called b-smact technologies (Blockchain, Social media, Mobile use, Analytics, Cloud and Things-on-the-internet or better known as IoT). The fuelling component of those technologies is Big Data.
This insight will require a whole new set of business skills. Understanding and working with new technologies for big data collection, analysis and prediction will not create only huge opportunities for business, but also ethical, legal, privacy and technical issues concerning every part of the organisation. It will influence customer relationships, redefines how firms develop new products and services, changes how operations are organised and managed, improves demand and supply networks, and provides the basis for new business models. It will demand a data driven focus of everyone involved.
Organisations transforming towards becoming data-driven are guided and supported by the eight-day ‘Leadership Challenges with Big Data and Analytics’ programme at RSM Executive Education. It connects professionals in technical- and methodology-oriented data science with professionals engaged in business analytics, links them to best business practices, and actively involves senior executives. This programme has been developed and organised by the Erasmus Centre for Data Analytics with a wide range of partners from the industry.
After participating in this programme, you will be able to:
provide professionals engaged in data science and business with academically sound and new ways to apply big data technologies in order to design and implement innovative and successful business applications
improve the business skills of technically focused data scientists by exploring business thinking, business-case creation, and problem solving from a business angle
improve the technical skills of business focused executives as they acquire new knowledge and understanding of data science methodologies and techniques
increase collaboration between data scientists and business executives by increasing mutual understanding
provide a cross-industry learning platform for professionals to learn from experiences in other relevant industries
broaden data scientists’ and business executives’ understanding of privacy and security as to provide solid data-driven and GDPR compliant business applications.
engage participants with senior executives and supervisors to facilitate implementation of business applications.
The programme uses a holistic approach by participation in multi-disciplinary and multi-hierarchical teams from various industries and a learning-by-doing approach from peers and via coaching by top academics and business experts.
|Length||8 day programme|
|Start date||12 September 2019|
|Target group||Company teams of data scientists, business analysts and their executives and supervisors|
|Faculty||Taught by internationally renowned top scientists from Erasmus University Rotterdam (Rotterdam School of Management and School of Economics), TU Delft, Leiden University and several guest speakers from business|
|Certificate||Official certification by Rotterdam School of Management, Erasmus University.|
The course is divided into four blocks to allow the application of the concepts learned.
Two days of preparation sessions, during which each participating company is expected to bring at least one case study to which the teams can apply the concepts they have learned. During this part of the programme, you will focus on the strategic importance of data-driven organisations, terminology, leadership challenges and readiness of companies, including their enterprise architecture and digitised platform. It includes case studies from other companies and short presentations from participating companies.
Two days including one evening session during which you explore the basic technology challenges of a data-driven company; technologies for analysis, prediction and visualisation. The evening session will focus on exchanging information and insights between the participants including a get to know each other social event with an academic touch.
Two days including one evening session during which you explore the basic management challenges of data-driven company; business cases, legal and privacy issues, change management and implementation. The evening session will focus on the company use case, consulting with both academic- and business coaches.
Two days for fine tuning the gained knowledge and turn it into applicable wisdom. Discuss challenges you have experienced in transforming your business and the implementation of your proposals. In the afternoon of the second day each team’s case study results will be presented to an expert panel and discussed in the class.
This programme is suited for company teams from data-intense industries with one or more data scientists and one or more business analysts working with business models and applications, as well as senior executives and supervisors. Professionals in non-profit organisations and governments, particularly those who work on smart city concepts, may also benefit.
Faculty members of RSM and ESE combine impeccable academic credentials with a thorough knowledge of business practice. Selected for their ability and experience in executive teaching, they will draw on their research and knowledge to deliver a unique learning experience.
Dr Dion Bongaerts
is an Associate Professor of Finance at RSM. He specializes in credit markets and market liquidity. The use of innovative technologies in financial markets is of particular interest to him. His work has been presented at major conferences around the world, including the AFA, WFA, EFA, and NBER meetings and published in top tier academic journals including the Journal of Finance and Review of Financial Studies. He has received several grants, including a Veni grant from the Dutch National Science Foundation (NWO) and a Lamfalussy Fellowship from the ECB. Dr. Bongaerts holds a PhD degree in Finance from the University of Amsterdam, an MSc in Econometrics from Maastricht University and has been a visiting scholar at Yale School of Management. Moreover, he has several years of professional experience as a risk management quant at ABN-AMRO bank.
Dr Jan van Dalen
is associate professor of statistics at RSM. He is the co-founder of the recently established Erasmus Centre for Data Science and Business Analytics, and co-director of E-Urban, and leads the Urban Big Data knowledge lab in collaboration with the City of Rotterdam. His main research interests are in quantitative analysis of information, logistics, trade and organisational processes, and he has been involved in research programmes that include monitoring trade and traffic flows with CBS, trade lane risk assessment in Cassandra, and cross-chain collaboration in 4C4More/Dinalog. He has extensive teaching experience in applied statistics, forecasting and big data in bachelor, master and executive teaching programmes.
Prof. Eric van Heck
is a professor of information management and markets at RSM. His research concentrates on the role and impact of advanced information systems and technologies helping to solve complex societal and business challenges. He is working on sustainable ways of working, multi-agent systems for smart energy grids, mobile banking platform ecosystems for financial inclusion, and sustainable maritime logistical systems. His research is carried out with innovative companies and universities in Brazil, China, Europe, Indonesia, and the USA.
Prof. Ting Li
is a Professor of Information Systems and the Academic Director of MSc Business Information Management at Rotterdam School of Management (RSM), Erasmus University. She is the founding member of the Erasmus Centre for Data Science and Business Analytics. Ting Li is an expert in Digital Strategy, Ecommerce, Social Media Analytics, Mobile Marketing, Business Analytics, Online Advertising, and Pricing and Revenue Management. She has consulted and worked in various capacities with Shell, KPMG, PwC, Accenture, Coolblue, Wehkamp, Zelf, Tweakers, Shop2Market, Dutch Railways, RET, amongst others.
Prof. Gui Liberali
is Professor of Digital Marketing at the RSM. Gui has successfully developed and applied methods for designing and customizing digital products and interactions, and adaptive online experimentation methods to online display advertising and website design, in research collaborations with firms in the U.S., U.K, and Europe. His work has been published in the most prestigious journals and has been cited in various technology blogs, magazines, and textbooks in marketing and operations research. Prof. Liberali holds a Doctorate in Marketing, and a B.Sc. in Computer Science. Gui was a visiting scholar at the MIT Sloan School of Management for several years. Gui is also Vice-President for Membership at the INFORMS Society for Marketing Science and an ERIM Fellow. He was awarded a two-year grant by the E.U for his research on recommendation systems.
Dr Jason Roos
is an assistant professor in the Department of Marketing Management at RSM. His research focuses on the way users and marketers engage with new media and has been published in top academic journals. Before entering academia, he worked as a consultant and software engineer in Seattle, USA, and was managing director of an internet marketing and software firm. He earned his PhD in marketing from Duke University’s Fuqua School of Business, and received the prestigious INFORMS Society for Marketing Science Dissertation Award in 2011.
Dr Iuliana Sandu
is a lecturer in the department of Accounting & Control at RSM. She earned her master’s degree in Economics and Finance of Aging at Tilburg University, her master’s degree in Accounting, Audit and Management Information Systems and her PhD in Pension Fund Performance at the Bucharest University of Economic Studies. Her teaching activities relate to financial and management accounting topics. Her interests are in educational innovations, data analytics and accounting.
Prof. Peter Vervest
is professor of information management and networks at RSM who says big data is automated decision-making combining big amounts of distributed, often poorly aligned and non-authenticated data from many sources. He sees the Internet of Things as presenting a set of technological, business and societal challenges. Peter’s contribution to the development and creation of open information systems dates back to the publication of Electronic Mail and Message Handling in 1985, a landmark publication for developing global communications networks such as the internet and a focus on smart networks resulted in the publication of Smart Business Networks in 2005 and The Network Experience in 2009. He has conducted research for large firms and the EU, and is also chairman of the complexity studies programme of the Netherlands Organisation for Scientific Research.
The Leadership Challenges with Big Data and Analytics programme is an 8-day programme offered in Rotterdam. Read on for more practical information.
Start September 2019 > Apply now
Block 1: 12 - 13 September 2019
Block 2: 10 - 11 October 2019
Block 3: 14 - 15 November 2019
Block 4: 16 - 17 January 2020
The fee for each participants for the eight-day programme is € 8,500 (excl. VAT). This includes course materials, access to the e-learning platform, individual coaching during the programme, lunches, three dinners and social activities. Discounted rates apply and according to the number of participants per organisation, and are shown in the table below. For teams with more than five participants, each additional participant over five participants is € 7,000 (excl. VAT).
Number of participants Cost per participant Cost for partner organisation
1 € 8,500 € 8,500
2 € 8,000 € 16,000
3 € 7,500 € 22,500
4 € 7,250 € 29,000
5 € 7,000 € 35,000
Please contact us for more information: firstname.lastname@example.org.
Cancellation notices must be received by email: email@example.com. The following cancellation fees apply:
- More than 14 days before the programme’s start date: 25% of the programme fee will be charged
- Between 14 and 7 days before the programme’s start date: 75% of the programme fee will be charged
- 7 days or fewer before the programme’s start date: 100% of the programme fee will be charged
- Cancellations received on or after the programme’s start date: 100% of the programme fee will be charged.
The participant can be substituted by someone from the same company on the same course without extra costs.
General terms and conditions
Please click here to view RSM Executive Education’s general terms and conditions.
The programmes take place at Rotterdam School of Management, Erasmus University, Burgemeester Oudlaan 50, Rotterdam.
If you require hotel accommodation in Rotterdam, we recommend Novotel Rotterdam Brainpark, adjacent to the university.
If you would like to join the programme, please contact us for registration:
Dr Marcel van Oosterhout
T: +31 10 408 8816
M: +31 6 48632174
After receiving your registration, we will send you a Participation Agreement, and every participant is required to fill out the registration form and send a digital photo.