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.
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:
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.
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 next Data Challenge week will take place March 24 – 31, 2023. Screening will continue until the position has been filled.
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.
“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