EngD program Data Science

Founding universities
Application deadline non VISA January 1, 2024
Title Engineering Doctorate in Data Science
EC Points 120
Duration 24 Months
Language English
Availability Full-time

The Engineering Doctorate program Data Science is a two-year post-master’s program. It qualifies you to become a top-level professional data scientist.

Ready to work, not done learning? The EngD program in Data Science puts you on the fast track to a successful career as a top-level professional in the high-demand field. Over two years you will deepen your knowledge, gain practical experience, and work on your professional skills. The second year includes a substantial technological design project with a leading company or institution, ensuring a blend of theory and practical application for a comprehensive education.

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

Important note about the application procedure

The registration for the Data Challenge Week will open from April 1st, 2024. There are limited spots available for the next selection period. Are you interested? The screening of candidates continues until the maximum number of candidates is reached. Apply as soon as possible!

If you want to apply for the EngD Data Science program, please apply via our Application for EngD Data Science page
Every 6 months there will be a Data Challenge week. The next Data Challenge week will take place September, 2024

> If you require a VISA to visit the Netherlands, you need to apply before December 1st, 2023. Not yet open 

> If no visa is required, you need to apply before January 1st, 2024. Not yet open 

Info Data Challenge week

About EngD in Data Science

The EngD program offers a more industry-oriented path compared to a Ph.D. trajectory. While a Ph.D. focuses on an independent research career, the EngD prepares you for an industrial career as a technological designer. If selected for this program, you, as an EngD candidate, will hold the status of a TU/e employee, receiving a salary and an attractive benefits package. Explore more details in the following documents.

Go to frequently asked questions

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... 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

My time at JADS has been truly transformative

“My time at JADS has been truly transformative. The EngD program gave me the space to merge my passion for football with data science. At JADS, I could attend workshops, competitions, and events in this field in addition to... Read more
Hadi Sotudeh Football Analytics Doctoral Student, ETH Zurich
Background Pattern

I was able to challenge myself and enhance my skills in a safe environment

“JADS gave me the opportunity to work with top industries in the Netherlands and evolve my business acumen, tech, and soft skills. This program provided the guidance I needed and the chance to collaborate with colleagues from... Read more
Antonis Stellas Data Scientist, freelance
Background Pattern
EngD alumnus JADS Data Science

"You will find your hidden talents and improve yourself"

“It is intensely challenging, but you will find your hidden talents and improve yourself. You get the benefits of being a student, learn, get work experience and get paid. It is a really valuable program for the rest of your... Read more
Ravi Thakkar EngD Alumnus and Data Scientist at Signify
Background Pattern
EngD alumnus JADS Data Science

One of the program’s distinctive strengths is its ability to bring people together

“The EngD program allowed me to professionalize my career in the world of data. It did that, and a lot more. I had the privilege of connecting with such a wonderful, very smart, and culturally diverse group of people. All were... Read more
Pieter Overdevest Data specialist / Teacher EAISI-JADS Professional Education
Background Pattern
Why you should choose this postmaster's Program? Watch!

Study Program & Curriculum

In two years, you will deepen your technological knowledge, gain practical experience, work on your professional skills, and carry out a technological design project for one of our industry partners. The technological designer programs lead to an Engineering Doctorate degree. These programs are given under the banner of 4TU.School for Technological Design; the Stan Ackermans Institute, a joint initiative of the four universities of technology in the Netherlands.

The EngD program Data Science offers an interdisciplinary learning environment devoted to professional training in knowledge, skills, and competencies that are required of a data scientist at doctorate level. The program aims to broaden and specialize the professional profile of students in a personalized way. By means of nine independent educational modules, the program integrates the fundamental elements of the data science process: preparation, exploration, analytics, visualization, mining, and business intelligence, from a design perspective.

If not Data Science, the other EngD programs might spark your engineering passion

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:

Other EngD programs

 

EngD Data Science & AI Cases

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

Admission requirements

Candidates are creative problem solvers and team players who seek interaction – within a multidisciplinary environment – to address problems. They have excellent technical skills, are eager to learn and are dedicated to the quality and quantity of knowledge gained.

Check all admission requirements

Application procedure

Candidates can enter the program only after having successfully passed the full admission procedure. The procedure has three steps and involves a thorough assessment by means of a Data Challenge Week and an application interview.

More about the application procedure

New to the city of ‘s-Hertogenbosch, also called Den Bosch? Discover these 10 highlights

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.

Read the full article on the website of Visit den Bosch!

Alumni 50+
Companies 35 different
Countries 36 different

More than 90% of the foreign graduates from the EngD program Data Science find a first job in The Netherlands. Our alumni now work at companies like ASML, Unilever, Schiphol, KPN, Coolblue, and many more.

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.

Stay up-to-date about the EngD program


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
+31(0)40 247 55 55

Subscribe to the EngD in Data Science newsletter

Group 5
Group 6
Group 7