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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.

Why study Data Science (DSC) at EIT Digital Master School?

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

You will acquire in-depth technical skills in scalable data collection techniques and data analysis methods. You will 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).

The curriculum combines the technical major in Data Science (Technical major 75%) with a minor in Innovation & Entrepreneurship (I&E) (business minor 25%). You will learn how to bring an innovation to the market and how to develop a successful business model. These additional entrepreneurial skills will give you your 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 different European countries.
  • Upon completion, graduates receive two masters degrees from the two universities they will have studied at and a certificate awarded by the European Institute of Innovation and Technology.
  • The first year is similar at all entry points.
  • 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.

Who can apply?

If you 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.

Where can you study Data Science?

Entry year (common courses):

  • Eindhoven University of Technology (TU/e), The Netherlands 
  • Universidad Politécnica de Madrid (UPM), Spain 

Université Côte d’Azur (UCA), France 

  • Politecnico di Milano (POLIMI), Italy 
  • Royal Institute of Technology (KTH), Sweden 
  • Université Paris Sud (UPS), France 
  • Aalto University (Aalto), Finland 

Exit year (specialisation):

  • Royal Institute of Technology (KTH), Sweden: Distributed Systems and Data Mining for Big Data 
  • Technical University of Berlin (TUB), Germany: Design, Implementation, and Usage of Data Science Instruments 
  • Eindhoven University of Technology (TU/e), The Netherlands: Business Process Intelligence  
  • Université Côte d’Azur (UCA), France: Multimedia and Web Science for Big Data 
  • Universidad Politécnica de Madrid (UPM), Spain: Infrastructures for Large Scale Data Management and Analysis 
  • Aalto University (Aalto), Finland: Machine Learning, Big Data Management, and Business Analytics 
  • Eötvös Lorand University (ELTE), Hungary: Real-time Data Analytics 
  • Université Paris Sud (UPS), France: Natural language processing 
  • Univeristy of Trento (UNITN), Italy: Variety and Veracity for Big Data at Trento

How can you apply?

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

Application deadline one: 1 February 2019*

Application deadline two: 15 April 2019

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

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

To learn more about the application process, click here.

Tuition fees and Scholarships

Standard tuition fees are set at 1,500EUR per year for EU citizens and 12,000EUR per year for non-EU citizens.

EIT Digital Master School offers financial support including a wide range of merit-based scholarships as well as tuition fee reductions and waivers. No separate application form for the EIT Digital Scholarship is needed. When you apply to the EIT Digital Master School in the application portal, you will only be asked to confirm whether you apply for an EIT Digital Master School scholarship.

Need more information?

Contact our EIT Digital Master School Office at

Visit the Data Science (MSc) page on the Technical University of Berlin website for more details!





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