Data Governance

PDEng program Data Science

EC Points 120
Title Professional Doctorate in Engineering in Data Science
Duration 24 Months
Language English
Availability Full-time

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.

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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

recommender PDEng

Developing a recommender app for de Efteling

A PDEng 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.
Crime and Safety PDEng

Successfully tackling money laundering with data science

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

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

Important note about the application procedure

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 take place entirely online. Next online Data Challenge Week (DCW) takes place from September 27th up to and including October 2nd, 2020. The online DCW consists of a 4-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.

Alumni 50+
Companies 35 different
Countries 36 different

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

 

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More information about PDEng

Contact us

send us an e-mail
DPdatascience@tue.nl
+31(0)40 247 33 45
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