Contact information

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).

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

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Upcoming events & sessions

Check the complete timeline
Master Data Science in Business and Entrepreneurship
Join the Discover JADS Day!
Speakers: Alumnus Stijn van Geene & Program Director Martijn Willemsen Read more and register

Recent collaborations

View all data cases

Exploring Exsell's data to build a recommender system

Exsell partnered with JADS in the Causal Inference course, presenting a real-world dataset challenge to students, to see what they did with it. The dataset was aimed at testing students' ability to build models and derive meaningful insights from the data

Enhancing government letter clarity with Machine Learning and ChatGPT

For her Master thesis Nadine Beks focused on using machine learning to improve letters from government sources like city councils and tax offices. She created and tested different models and found the GPT model was the most effective in making letters easier to understand.
Group 5
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