The Engineering Doctorate program Data Science is a two-year post-master’s program. It qualifies its students to become top-level professional data scientists.
The EngD (formerly PDEng) program Data Science qualifies its students to become top-level professionals, who are able to help industry and business with their innovative data science solutions. They aim for a career in a big data environment that truly leverages their academic experience and talents in the fast growing in-demand field of Data Science.
About EngD
An EngD program is a more industry-oriented alternative to a PhD trajectory. Whilst a PhD is focused on a career as an independent researchers, an EngD prepares a trainee for an industrial career as a technological designer. Like a PhD candidate, an EngD candidate will have the status of TU/e employee after being selected for this program, and receive a salary and attractive benefits package. For more information please read the following documents:
- Report CCTO is the leading document in which we present the design of our EngD program.
- Compendium presents the facts and figures, such as, the trainee intake, the cooperation with the business community (number and type of projects), the list of graduation projects, and our alumni community.
- Addendum EngD DS organization presents, at high level, the management structure and the main stakeholders.
- Addendum EngD DS mentoring describes different perspectives of coaching and supervision integrated in our program.
JADS provided a dynamic environment to develop myself both personally and professionaly
JADS provided a dynamic environment to develop myself both personally and professionaly
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 join events and guide current students.
"You will find your hidden talents and improve yourself"
"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 career”
–
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.
EngD Cases
Important note about the application procedure
The registration for the Data Challenge Week is open.
If you want to apply for the EngD Data Science program, please send in your (updated) application between November 1, 2022 to January 31, 2023. The deadline can be extended to February 28th; if you do not need a VISA permit to get here.
The next Data Challenge week will take place March 24 – 31, 2023. Screening will continue until the position has been filled.
EngD in the news
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.