PDEng program Data Science
The Professional Doctorate in Engineering program Data Science is a two-year post-master’s program. It qualifies its students to become top-level professional data scientists.
The 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 PDEng
A PDEng program is a more industry-oriented alternative to a PhD trajectory. Whilst a PhD is focused on a career as an independent researchers, a PDEng prepares a trainee for an industrial career as a technological designer. Like a PhD candidate, a PDEng 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 PDEngprogram.
- 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 PDEng DS organization presents, at high level, the management structure and the main stakeholders.
- Addendum PDEng DS mentoring describes different perspectives of coaching and supervision integrated in our program.
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 a Professional Doctorate in Engineering (PDEng) 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 PDEng 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.
PDEngcases
Important note about the application procedure
The registration for the data challenge week of March, 2021 is closed. Next online Data Challenge Week (DCW) takes place from October 1st up to and including October 8th , 2021. If you want to apply for the PDEng DS program, please send in your (updated) application between May 1, 2021 to July 1, 2021!
Important note
Due to the uncertain situation created by the COVID-19 pandemic we change our assessment procedure until further notice. The most important change is that the assessment will probably take place online. The online DCW consists of a 5-day online teamwork assessment concluded with an online interview. Due to the online character of the next Data Challenge Week combined with the uncertain international travel regulations, we give priority to applicants that currently live in the Netherlands or in countries close to the Netherlands. We hope this situation will be over soon so our program can revert to its normal assessment procedure.
More than 90% of the foreign graduates from the PDEng 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.
Testimonial
“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”
– Ravi Thakkar
