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Big Data for Managers

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Gain a strategic overview of the transformation to become a data-driven organisation. Join the 2-day university masterclass Big Data for Managers, especially designed for (project) managers and executives. You will learn about the strategic, technological and legal aspects of data analytics strategies by experienced data science experts and professors. We are proud that 95% of the participants recommends this masterclass to others and that the average rating is 8.1. After 11 successful editions the final edition of the Big Data for Managers took place 5 & 6 October 2020. Currently we are developing a new masterclass on Artificial Intelligence. Do you want to stay updated on the programme? Please fill in the keep me informed-form.

Why join the masterclass Big Data for Managers?

  • What will you learn?

    In 2 days, you learn everything you need to know to help your company or team become more data-driven. You will be able to develop ideas and implement the structure required to bring data science and data analytics to a higher level within your organisation. In addition to the theory and workshop sessions, the masterclass provides you with an opportunity to share your experiences with like-minded professionals who are also keen on expanding their analytics strategies.

    During this 2-day programme you will acquire:

    • an in-depth understanding of big data terms and definitions.
    • a basic understanding of analytics methodologies, such as forecasting, machine learning and segmentation
    • an overview of big data technology, including data storage, analytical engines and resource management.
    • an understanding of how big data can strategically benefit your organisation.
    • an understanding of analytics maturity and your organisation’s next steps.
    • insights into the implementation requirements of big data and analytics strategies.
  • For whom?

    This masterclass is specifically designed for CEOs, project managers, consultants, accountants, auditors, controllers and other professionals with a beginner to intermediate understanding of big data concepts. Join us and discover how your company can use big data and data analytics to its competitive advantage.

  • Dates and fees
    Dates: TBA
    Times: 9:00 - 17:00 included
    Fee: €1,950*

    *UvA alumni get a 10% discount. Fees are VAT-exempt.

  • Practical information
    Location: De Burcht, Henri Polaklaan 9, Amsterdam
    Language: English
    Certification: You will receive a Certificate of Attendance from the University of Amsterdam
    PE hours: 14 PE hours for chartered accountants. Let us know if you require PE hours.
  • Teaching staff

    The masterclass Big Data for Managers is designed by The Analytics Academy, a collaboration of the Amsterdam Business School with Ortec and Amsterdam Data Science. The lecturers from The Analytics Academy specialise in offering data science and business analytics education to a wide range of professionals in open and in-company programmes. They help organisations to grow and sustain knowledge at every stage of their data-driven development.

  • Reviews

    ‘A great turbo lecture about big data from A to Z. Excellent!’

    ‘Nice to meet other people grappling with big data.’

    ‘Good overview of data analytics and in-depth examples from really experienced people.’

    ‘This course gives you a good overview of everything involving big data: from vision and change management to techniques, to legislation, including attracting and keeping the right talent!’

    ‘Accelerate your plans in data analytics.’

    ‘A great way to catch up with the idea of big data. The subject is explained in all its facets in just two days.’

    ‘The masterclass gives an overview of how to make your organisation more data-driven, but also how you can do it yourself by encouraging your organisation to take small steps with big data and get quick results.'


Do you have questions about this or other open programmes? Please contact:

drs. Vanessa Rijkeboer
Manager Executive Education
T: +31 (0)20 525 7146

Facts & Figures
Type Contract teaching
Mode Part-time
Credits 14 PE, 0 ECTS, 2 days
Language of instruction English