Contact information

Contact info

Education

Master Education questions@jads.nl
EngD DPdatascience@tue.nl 
Research research@jads.nl
Professional Education professionaleducation@jads.nl

Collaborations and events

Questions about renting spaces or events events@jads.nl
Business partnerships & collaborations business@jads.nl

Miscellaneous

Marketing and communication: communications@jads.nl

General information

Jheronimus Academy of Data Science
St. Janssingel 92
5211 DA ‘s-Hertogenbosch
The Netherlands
info@jads.nl 
tel: +31 (040) – 247 5555

Directions


Train or public transport

Trains run regularly between Schiphol and ‘s Hertogenbosch.

When you walk out of the station towards the center you walk straight ahead until you cross a bridge (3-5 minutes)
Turn right on the Sint Janssingel and walk straight ahead until the entrance of the “Mariënburg” (2-4 min.). This is the entrance to our JADS campus.

By car

There are parking facilities near the JADS Mariënburg Campus. For rates, check the municipality’s website.
The nearest parking facilities with electric charging stations are at the Paleiskwartier parking garage (Hugo de Grootlaan 84), which is within walking distance (10-15 min).

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Upcoming events & sessions

Check the complete timeline
Discover JADS Day Read more and register
Prompt Engineering Lab Speaker: Wiemer Kuik (Hogeschool Utrecht) Read more and register

Recent collaborations

View all data cases

Enabling product developers to perform portfolio optimization to easily reformulate food products

Unilever, a renowned global consumer goods company, is constantly innovating its food products to stay in sync with evolving factors. However, Unilever faces a significant hurdle.

AI-powered risk analysis: SME Datalab's collaboration with Safety Region Brabant North

In collaboration with SME Datalab, Safety Region Brabant North implemented Retrieval Augmented Generation (RAG) to swiftly gather factual data from public documents. This initiative reduced the time-intensive nature of risk analysis and minimized the risk of using incorrect information or leaking sensitive data.
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