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.

Data Science is concerned with the problem of finding patterns and creating value from vast streams of data in the context of a data domain.

The main themes of the program are:
• Collect, explore, analyze, interpret, and present huge data sets
• Approach data and domain problems from multiple perspective
• Create value for organizations by designing novel data driven solutions

The program combines statistics, computer science, mathematics, and design theory with the business acumen to explore data sets, gather insights, visualize results, and communicate meaningful findings to stakeholders taking into consideration underlying ethical and legal aspects.

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 researcher, a PDEng prepares a trainee for an industrial career as a technological designer. Like a PhD candidate, a PDEng candidate has the status of TU/e employee after being selected for this program, and receives a salary and attractive benefits package.

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.

The PDEng Data Science is a joint initiative of Eindhoven University of Technology, Tilburg University, and the Data Science Centre Eindhoven. Together they founded the unique Jheronimus Academy of Data Science (JADS). The academy is a thriving data science community, in which postgraduate education, innovation, entrepreneurial activities, lifelong learning, and scientific research are integrated.

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.

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.

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.A Data Science graduate:

1) Properly applies techniques from statistics, computer science, and mathematics in a variety of data domains.
2) Shows curiosity with the desire to discover, distil, and model a problem down to a clear set of concepts and hypotheses to be tested.
3) Uses data to tell a story and communicate that story effectively to stakeholders.
4) Demonstrates cleverness to look at a problem in different creative ways.
5) Collaborates in teams and with a variety of stakeholders to get optimal results.

Candidates for the PDEng Data Science are creative problem solvers with excellent technical skills, team players with eagerness to learn and with attitude that shows the responsibility for quality and quantity of knowledge gained. They have a solid background in Mathematics, Statistics, and Computer Science, and strong affinity with Data Science.

For an overview of all admission details, please visit https://www.jads.nl/education/pdeng-program-data-science/pdeng-admission/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. For more information, please visit https://www.jads.nl/education/pdeng-program-data-science/pdeng-application-procedure/