EngD program Data Science

Founding universities
Application deadline VISA June 1, 2025
Application deadline NL & EU June 1, 2025
Title Engineering Doctorate in Data Science
EC Points 120
Duration 24 Months
Language English
Format Full-time

Become a highly skilled data scientist through the Engineering Doctorate program in Data Science, a two-year post-master’s curriculum.

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. 

To apply for the EngD Data Science program, please submit your application along with all the required documents. We utilize the Grade Varbi recruitment system via Eindhoven University of Technology. Once your application is complete, you will be notified of the outcome. If successful, you will advance to the next phase, which includes two online interviews. You’ll find the vacancy here: Vacancies.

Download the brochure

About EngD in Data Science

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.

Go to frequently asked questions

Why choose an EngD Data Science?

Industry focus

Gain practical skills for real-world careers in technology design.

Hands-on experience

Dive into real projects with leading companies

Personalized development

Customize your learning to match your career goals.

International community

Join our strong and divers community

Study Program & Curriculum

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.

Admission requirements

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.

Check all admission requirements

Trust the process

‘Trust the process’ was the guiding principle from the first day of the EngD program. With a background in Electrical and Computer Engineering, I aspired to become a Data Scientist. The program provided me with the skills... Read more
Elena Stamatelou Data Scientist, Freelance
Background Pattern

Honing on my skills

“My experience at JADS was transformative. The practice-oriented projects honed my skills. The JADS network opened doors to exciting opportunities. JADS accelerated my career in data science and AI, equipping me with the... Read more
Wenjun Liao-廖文骏 AI Consultant at DLL
Background Pattern

JADS provided a dynamic environment to develop myself both personally and professionally

“During my EngD, JADS provided me with a dynamic environment to develop myself both personally and professionally. The EngD program and the university as a whole were a perfect fit for me. I still enjoy coming back to JADS to... Read more
Lennart Damen EngD alumnus and Boardmember of Alumni Association AI Lumni
Background Pattern

Elevating me from a data analyst to a data scientist

“JADS transformed my career, elevating me from a data analyst to a data scientist. It taught me data science is a process that combines the art and science of problem-solving through data, a skill crucial for solving diverse... Read more
Bingcheng Luo Data Scientist, Meta
Background Pattern

Collaborated with diverse peers, worked on real-world projects, and achieved personal and professional growth, all while creating cherished memories.

JADS provided me with the chance to immerse myself in a diverse, intercultural environment, where I collaborated with peers possessing a wide range of technical skills. It also allowed me to engage with various stakeholders, work on... Read more
Akshaya Ravi Research Scientist, Philips IP&S, Netherlands
Background Pattern

EngD Data Science & AI 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.
Smart Pork Chain sensor

Helping to smarten up the pork production chain

Zinabu Melese is an Ethiopian EngD student at JADS who for his doctorate research explored a wealth of data from Hendrix Genetics and the Vion Food Group in order to lay the foundations for further data integration in the production chain. The next step will be to couple data from sensors hanging in pig farms to slaughterhouse data.

Developing a recommender app for de Efteling

A EngD trainee from JADS helped de Efteling develop a recommender app. Thanks to this app, Efteling will be able to better distribute its visitor flows throughout the park.

Successfully tackling money laundering with data science

JADS, together with Van Lanschot, developed an approach to tackle money laundering using data science

Making SMEs in the AgriFood domain data savvy

As part of the " Regio Deal Noordoost Brabant" project, researchers and students in co-operation with entrepreneurs are developing facilities to make SMEs in the AgriFood domain data-savvy.

VISOR - research for smart event safety

The VISOR project focuses on the analysis, detection and prediction of behaviour of large crowds.
nature and data science

Meeting the demand for data professionals in the AgriFood sector

FARM-IT focusses on meeting the demand for data savvy professionals in the agri-food sector. JADS is involved in FARM IT through a minor agri-food, e-learning, professional education, collaborations


Stay up-to-date about the EngD in Data Science program

Any questions about the EngD in Data Science program?

send us an e-mail
DPdatascience@tue.nl

Subscribe to the EngD in Data Science newsletter

Group 5
Group 6
Group 7