Detailed Programme

This programme’s uniqueness lies in its combination of different learning formats (online and on-campus) and strong focus on applying what you learn on the work floor.

The programme consists of 4 teaching modules, project work and a comeback day.

Module 1: Data and Analytics Strategy (1 day, on-campus)

Connecting the worlds of data scientist and business expert by:

  • Developing a data and analytics strategy that supports your organisation’s digital transformation
  • Being inspired by state-of-the-art Artificial Intelligence and Big Data applications that create value in multiple industries (Finance, Retail, Telecom, Pharmaceuticals, …)
  • Identifying data-driven innovations for your organisation
  • Managing analytical teams and projects

Module 2: Artificial Intelligence and Big Data Analytics (± 6 hours, online)

Familiarising participants – in a way that is understandable for business managers – with the principles of several advanced Artificial Intelligence and Big Data techniques, with a focus on showing the business value of:

  • Machine Learning
  • Decision Automation
  • Network Analysis
  • Natural Language Processing
  • Deep (reinforcement) learning

Module 3: Operationalising Artificial Intelligence and Big Data (1,5 day on-campus)

From exploration to exploitation – making your data-driven innovation work by:

  • Collecting and integrating multiple data sources
  • Integrating big data technology with existing data infrastructure
  • Leveraging high-velocity data
  • Demonstrating the value of data governance

Module 4: Cultivating Artificial Intelligence and Big Data (1,5 day on-campus)

Cultivating data-driven decision-making to optimally exploit the newly created Big Data benefits in your organisation:

  • How to win customer buy-in by dealing with ethics and privacy in a big data world
  • How to facilitate collaboration around AI and Big Data projects with internal stakeholders
  • How to promote data savviness within your organisation

Your personal data-driven project (at your own company)

  • During a period of 2 months you will work on your personal data-driven idea, innovation, project or strategy.
  • You will receive valuable feedback from your peers on your project. You will be able to ask your questions to the Vlerick faculty expert during the virtual Q&A session.
  • Throughout the programme, the online platform is available for discussing your challenges/progress with your fellow participants

Comeback day (half day, on-campus)

  • This an important part of your learning journey. During the comeback day you will get the chance to exchange your challenges and successes regarding your data-driven project with your fellow participants.
  • This day is the perfect opportunity for exchanging experiences and giving each other feedback.

The value of the programme

The real value of this programme is revealed when you start to implement what you have learned. That’s why we include personal project work at your company and a comeback day to help you launch a data-driven initiative.

    A learning experience like no other

    When you come to Vlerick, you step away from your usual routine and gain a wider perspective. You discover how to tackle challenges, turn your knowledge into action and apply your skills in your workplace. You learn from faculty who are experts in their fields – and from a diverse group of peers. All these things help you become a confident, skilled professional, ready to succeed in business – and in life.

    Vlerick Learning Experience

    Drive real change in your organisation

    A learning experience with real impact on your operations? A management programme tailored to the specific needs of your business? Contact us and discover how we can design and deliver customised programmes for your team that add genuine value to your organisation.

    Need help?

    Contact our Programme Advisor
    Programme Advisor
    Tel + 32 9 210 98 84
    [email protected]
    Find the programme most relevant for you!

    Download our programme calendar

    Meet Us

    Info Sessions & Open Days
    10 Nov
    Meet our programme advisor online
    Category: General Info Sessions

    08 Dec
    Meet our programme advisor online
    Category: General Info Sessions

    No. 1 for Executive Education

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