Why study Data Science?
Data abounds: social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us.
What are the career opportunities for Data Science graduates?
Become a professional for a career in a highly innovative area: data science. The profession in Data Science is hailed as the “… Sexiest Job of the 21st Century,” by Harvard Business Review in October 2012. The Data Scientist is a professional who simultaneously possesses breadth and depth in scalable data management, data analysis, and domain area expertise, and who is capable of solving real-world problems. This is an opportune time to pursue training in both a challenging and rewarding new field. Join us and embark on a journey of a lifetime!
Why Data Science at EIT Digital?
Getting value, meaning and answering big questions, are the ultimate goals of Learning Data Science at EIT Digital.
Data Science Master student
Eindhoven University of Technology
Study Data Science at EIT Digital, where education is provided by renowned universities and where entrepreneurial data scientists of the future come to being!
Data Science Coordinator
What is Data Science Master at EIT Digital all about?
The newly established Data Science Master’s offers a unique academic programme, whereby students can study data science, innovation, and entrepreneurship at leading European universities. In this programme, students will learn about scalable data collection techniques, data analysis methods, and a suite of tools and technologies that address data capture, processing, storage, transfer, analysis, and visualization, and related concepts (e.g., data access, pricing data, and data privacy).
How is the programme structured?
The first year will be similar at all three DSc entry point universities: Universidad Politecnica de Madrid (UPM), Eindhoven University of Technology (TU/e), and Universite Nice Sophia Antipolis (UNS) with foundations courses, such as data handling, data analysis, advanced data analysis and data management, visualization, and applications. The second year will enable students to concentrate one of six technical specialisation areas of their own choosing. See specialisations below.
An important part of the programme is the Innovation and Entrepreneurship (I&E) courses. The I&E basics course provides an introduction to business & management. Students participating in the DSc track are offered an internship with an industry partner or research centre of the EIT Digital to work on their thesis project. Directly linked to the master thesis is the I&E minor thesis that specifies the requirements, strategy and business plan for the selected thesis project.
Students participating in the DSc track are offered an internship with an industry partner or research centre of the EIT-Digital to work on their thesis project. Directly linked to the master thesis is the I&E minor thesis that specifies the requirements, strategy and business plan for the selected thesis project.
Where can I study if I choose Data Science?
Entry - 1st year
- Eindhoven University of Technology (TU/e)
- Universidad Politecnica de Madrid (UPM)
- Universite Nice Sophia Antipolis (UNS)
Exit - 2nd year, specialisation
- Internet of Things (IoT) at UPM
- Multimedia and Web Science for Big Data at UNS
- Process Mining at High Tech Systems, Healthcare, Visual Analytics or Big software at TU/e
- Distributed Systems and Data Mining for Really Big Data at KTH
- Design, Implementation, and Usage of Data Science Instruments at TUB
Specific Admission Requirements
A B.Sc. degree in electrical engineering/ electronics, computer engineering, computer science or information technology is required. The studies should include at least 60 ECTS courses in computer science, computer architecture, or programming, and mathematics including calculus, algebra and mathematical statistics.
Program taught in: