Ready to work, not done learning? Our two-year Engineering Doctorate program offers you specialized expertise and professional hard and soft skills relevant to industry. And so boosting your career prospects and allowing you to make a real-world impact through research. You’ll collaborate closely with industry partners, receive financial support, and gain recognition for your professional development.
Application for a new round of Engineering Doctorate in Data Science is currently closed. There will be a new round later from October 2024. Register for our newsletter to be the first to hear about the new round of applications. You can then apply here. The selection of candidates (called ‘Data Challenge week’) will take place in March 2025.
The EngD program stands out for its industry-focused approach, preparing you for a career as a data scientist and an independent designer, unlike the PhD., which emphasizes independent research. As an EngD candidate, you’ll be employed by TU/e. You will receive a salary and comprehensive benefits. Over two years, you’ll deepen your knowledge, gain practical experience, and enhance your professional skills working on real life projects.
Gain practical skills for real-world careers in technology design.
Dive into real projects with leading companies
Customize your learning to match your career goals.
Join our strong and divers community
In our EngD program, you shape your own path by creating a personalized training and supervision plan in the first year. This plan guides your development and helps you excel in your chosen field. You’ll explore training projects, elective courses, and compulsory courses to refine your skills. In the second year, you’ll apply your knowledge through a hands-on project with a company. Over two years, you will deepen your expertise and execute a design project with industry partners, leading to an Engineering Doctorate degree.
If you enjoy problem-solving, teamwork, and have strong technical skills, you might be a good candidate for our program. You should have an MSc in Mathematics, Statistics, or Computer Science from an accredited institution like Eindhoven University of Technology, UTwente, Wageningen University or Tilburg University. Experience in applying Data Science technology to real-world problems is also valued. For all requirements go to our Admission requirement page.
You can enter the program only after successfully passing the full admission procedure, which consists of three steps. This process includes providing all required personal information, a thorough assessment through a Data Challenge Week and an application interview.
From applying to the EngD program in Data Science, to actually starting as a trainee at our campus in ‘s-Hertogenbosch, The Netherlands: it has quite a few steps. The overall process, starting with the opening of the application process till starting at our campus, will take about 10 months. We thought a visual might help you guide the process and to manage your expectations. Check the visual timeline here.
The process breaks down like this:
JADS is a unique cooperation between Eindhoven University and Tilburg University. As such, the Engineering Doctorate in Data Science is one of 11 EngD programs. Would you like to work on innovative technological solutions for the high tech industry or healthcare? Discover all 11 EngD programs offered by Eindhoven University of Technology: one of JADS’ founders:
Are you visiting Den Bosch for the first time and looking for a list of the city’s highlights? Then this is the place to be. Visit den Bosch, the official tourism office of Den Bosch, has 10 highlights – in random order – listed for you.
Leading companies, markets, and businesses in many fields are hiring big data infrastructure professionals at doctorate level to help them store, explore, process, access, visualize the terabytes of data that they collect daily. While the volume of data produced and stored grows exponentially, there is a severe shortage of talent to design data infrastructure and pipelines and to turn complex data into valuable business insights.