Overview

The academy is a thriving data science community, in which postgraduate education, innovation, entrepreneurial activities, lifelong learning, and scientific research are integrated. A major part of the PDEng program Data Science is related to real-life, cross-functional projects with partners in the data science ecosystem. The academy is located in the city of 's Hertogenbosch, in the former convent Mariënburg.

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 Data Science programme at Eindhoven University of Technology (TU/e)  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.The PDEng Data Science also offers a specialization in Industrial Engineering. This specialization is typically of interest for master students with an industrial engineering background, who want to broaden in the field of Data Science.

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.

A Data Science graduate:  

• Properly applies techniques from statistics, computer science, and mathematics in a variety of data domains.

• Shows curiosity with the desire to discover, distill, and model a problem down to a clear set of concepts and hypotheses to be tested.

• Uses data to tell a story and communicate that story effectively to stakeholders.

• Demonstrates cleverness to look at a problem in different creative ways.

• Collaborates in teams and with a variety of stakeholders to get optimal results.

Career prospects

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, maintain, and optimize data infrastructure and data pipelines and to turn complex and unstructured data into valuable business insights. More than 90% of the foreign graduates from the PDEng program Data Science find a first job in The Netherlands.