Grow & innovate with data science

Meet the talent of the future Access to talent
the latest scientific insights to accelerate your organization High level knowledge
work with us to enhance your results Business opportunities

Collaborate with JADS!

Partner up with JADS like 300+ other organizations and businesses and shape your data-driven future

From startups to SMEs, NGOs and large corporates, our business partners gain access to talent, high level knowledge and business opportunities.

We would love to meet you!

Below you find the different ways we collaborate with organizations. Would you like to meet up over coffee to discuss the opportunities for your organization?

Contact us!

Accessible solutions

JADS MKB Datalab

Run short well-defined data projects

Pick up a specifically designed short-term data science project for your SME with a JADS MSc student. 120 SMEs already participated.

Work with a thesis student to solve a data problem

Your organization can get an answer to a complex question via a MSc thesis assignment. Within a scientific framework based on independent research, a Master student will provide new insights and a valuable outcome.

Challenge a business idea

Our courses often work with challenges and data sets of companies. We offer organizations the opportunity to deliver a data-driven challenge and a matching dataset which the students will pick up as part of their education program.

Research opportunities

Create a data driven business design

Design and develop data driven decision-making processes based on real, actionable data for your organization. Work together with our EngD (formerly PDEng) data science trainees on the development of new models specifically for your organization.

Research future scenarios and new methods

Various PhD research projects are active within JADS. A project with a PhD regularly has a duration of 4 years and is a long term commitment in valuable research. Because of our focus on 'impact in practice', we focus every year in a PhD process on the completion of a sub-question.

Access to talent

Innovate with entrepreneurial talent

Work together with entrepreneurial data science students and pick up a corporate innovation challenge, in the form of a hackathon via the JADS playground incubator.

startups in the JADS playground

Create or support a data science start-up

The JADS Playground helps the data science and entrepreneurship students which are in search of a sustainable, repeatable and scalable business model to create their own start-up. Within the playground we work together with capital venture organizations, accelerator programs and innovative SME, corporate or public organization.

Career events: build your employer brand

JADS students are in demand on the job market. At our career events, we offer companies different opportunities to present themselves in different ways or to seek interaction with students. We organize the Data Science Days in collaboration with student association Pattern since 2020.

High level knowledge

partner up with JADS

Enhance data science knowledge in your organization

Unlock the power of Data Science for your organization with our need-based education modules. Join the discovery, execute or lead tracks and learn how to create value with data for your organization.

Become a part of the JADS community

Our ambition goes beyond being an academic leader in the field of data science. Our aim is to play a key role in building a new ecosystem and accelerate the data driven economy in The Netherlands.

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.

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