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What is EIT Digital Master School?

The EIT Digital Master School is a collaboration between the best technical universities in Europe, top European research institutes and leading business partners. We aim to forge entrepreneurial talents in digital innovation through outstanding education. By joining the Master School, you are not just about to start a Master’s degree, you are stepping into a leading European open innovation organisation that brings together a partnership of over 200 top European corporations, SMEs, start-ups, universities and research institutes. 

Why study Data Science at EIT Digital?

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.

The Data Science Masters offers a unique two-year academic programme, whereby students study data science, innovation and entrepreneurship at two different leading European universities.

Students acquire in-depth technical skills in scalable data collection techniques and data analysis methods. They learn how to use and develop a suite of tools and technologies that address data capture, processing, storage, transfer, analysis, visualisation, and related concepts (e.g., data access, data pricing, and data privacy).

At the same time, they also acquire extensive business skills by learning how to bring an innovation to the market and developing a successful business model. These additional entrepreneurial skills will give students their ticket to a successful career.

How is the programme structured?

All EIT Digital Master School programmes follow the same scheme:

  • Students study one year at an ‘entry’ university and one year at an ‘exit’ university in two of EIT Digital’s hot spots around Europe.
  • Upon completion, graduates receive degrees from the two universities and a certificate awarded by the European Institute of Innovation and Technology.
  • The first year is similar at all entry points with basic courses to lay the foundation for the chosen technical programme focus. Some elective courses may also be chosen. At the same time, students are introduced to business and management. During the second semester, a design project is combined with business development exercises. These teach how to turn technology into business and how to present a convincing business plan.
  • In between the first year and the second year, a summer school addresses business opportunities within a socially relevant theme.
  • The second year offers a specialisation and a graduation project. The gradation project includes an internship at a company or a research institute and results in a Master thesis with a strong innovation and entrepreneurship dimension.

To learn more about the I&E minor please click here.

Where can I study Data Science?

Entry 1st Year

  • Aalto University (Aalto), Finland
  • Eötvös Lorand University (ELTE), Hungary
  • Politecnico di Milano (POLIMI), Italy
  • Royal Institute of Technology (KTH), Sweden
  • Technical University Eindhoven (TUE), Netherlands
  • Technical University of Madrid (UPM), Spain
  • Université Côte d’Azur (UCA), France
  • University of Rennes 1 (UR1), France
  • University of Twente (UT), Netherlands
  • University Paris Sud (UPS), France

Exit 2nd Year

  • Aalto University (Aalto), Finland
  • Eötvös Lorand University (ELTE), Hungary
  • Royal Institute of Technology (KTH), Sweden
  • Technical University Berlin (TUB), Germany
  • Technical University Eindhoven (TUE), Netherlands
  • Technical University of Madrid (UPM), Spain
  • Université Côte d’Azur (UCA), France
  • University of Rennes 1 (UR1), France
  • University of Trento (UNITN), Italy
  • University of Twente (UT), Netherlands
  • University Paris Sud (UPS), France

Who can apply?

If wish to apply to this programme you must have a Bachelor of Science in, or be in your final year of studies of:

  • Computer Science
  • Information Systems
  • Mathematics
  • Statistics
  • Electrical Engineering / Electronics

The studies should include at least 60 ECTS courses in computer science, computer architecture, or programming, and mathematics including calculus, algebra and mathematical statistics.

Kindly note that relevant work experience can compensate a non-strictly matching bachelor degree. Please justify your work experience in your motivation letter or resume. Once your papers are received, the selection committee will make the final decision on whether your bachelors and work experience are sufficient as prerequisites for the track you have applied for.

How can you apply?

Our academic year starts in August-October depending on your choice of university.

Application period one: November 15, 2019 - February 3, 2020*

Application period two: February 17 - April 17, 2020

* We recommend non-EU citizens to apply in period one to allow sufficient time for a visa.

Applications are made through our online Application Portal, on our website.


Visit the Data Science (MSc) page on the Politecnico di Milano website for more details!

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