ECDA Leadership Challenge with Data Analytics | Education Track (Fall 2023 Edition) - Erasmus Centre for Data Analytics
Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

No cookies to display.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

ECDA Leadership Challenge with Data Analytics | Education Track (Fall 2023 Edition)

Loading Events

« All Events

  • This event has passed.

ECDA Leadership Challenge with Data Analytics | Education Track (Fall 2023 Edition)

3 October 2023 @ 08:00 18 January 2024 @ 21:00


The use of data and application of analytics and artificial intelligence (AI) will without any doubt
change the way we design and operate our Higher Education. As a matter of fact, today it is already
changing our educational institutions. But what is needed to make analytics and AI valuable parts
of the way we organize our education? Many experts believe that successful transformation of our
Higher Education hinges on five pillars: strategy, hr and culture, organisation, governance and
compliance, ICT.
This insight will require a whole new set of skills and ways of working. Understanding and working
with new technologies for (big) data collection, analysis and prediction will not create only huge
opportunities, but also ethical, legal, privacy and technical issues concerning every part of the
organization. It will influence the relationship with our students, redefines how new programs and
services are developed, changes how operations are managed, and provides the basis for new
service offerings. It will demand a data driven focus of everyone involved in the organization.
This training programme combines the science of business, data, and societal perspectives.
Participants – who usually join with a team of 3 to 5 persons – acquire a broad knowledge and diverse
skills related to data analytics, which may lead to new insights that drive new value creation
opportunities in the context of higher education. Such learning by doing manifests itself along two
dimensions: across multiple levels (individual, group) and across multiple functions

Erasmus Centre for Data Analytics

View Organiser Website

Hybrid