Data is the driving force behind today's information-based society. There is a rapidly increasing demand for specialists who are able to exploit the new wealth of information in large and complex systems.
The programme focuses on modern methods from machine learning and database management that use the power of statistics to build efficient models, make reliable predictions and optimal decisions. The programme provides students with unique skills that are among the most valued on the labour market.
The rapid development of information technologies has led to the overwhelming of society with enormous volumes of information generated by large or complex systems. Applications in IT, telecommunications, business, robotics, economics, medicine, and many other fields generate information volumes that challenge professional analysts. Models and algorithms from machine learning, data mining, statistical visualisation, computational statistics and other computer-intensive statistical methods included in the programme are designed to learn from these complex information volumes. These tools are often used to increase the efficiency and productivity of large and complex systems and also to make them smarter and more autonomous. This naturally makes these tools increasingly popular with both governmental agencies and the private sector.
The programme is designed for students who have basic knowledge of mathematics, applied mathematics, statistics and computer science and have a bachelor’s degree in one of these areas, or an engineering degree.
Most of the courses included in the programme provide students with deep theoretical knowledge and practical experience from massive amounts of laboratory work.
Students will be given the opportunity to learn:
The programme contains a wide variety of courses that students may choose from. Students willing to complement their studies with courses given at other universities have the possibility to participate in exchange studies during the third term. Our partner programmes were carefully selected in order to cover various methodological perspectives and applied areas.
During the final term of the programme, students receive help in finding a private company or a government institution where they can work towards their thesis. There they can apply their knowledge to a real problem and meet people who use advanced data analytics in practice.
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.
Data science is a highly innovative area. The profession was described as "Sexiest Job of the 21st Century," by Harvard Business Review in October 2012. The data scientist simultaneously masters scalable data management, data analysis and domain area expertise to extract key knowledge and solve real-world problems. Data scientists’ skills are highly valued across all fields within the private sector, government and non-profit organisations. This is an opportune time to pursue training in both a challenging and rewarding area of expertise. So join us and embark on a journey of a lifetime!
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.
All EIT Digital Master School programmes follow the same scheme:
To learn more about the structure of the programme, please click here.
To learn more about the Innovation & Entrepreneurship minor, please click here.
Entry - 1st year, common courses
Exit - 2nd year, specialisation
EIT Digital Master School offers two-year, European Masters in computer science and information technology, with a focus on innovation and entrepreneurship. Students study two years in two leading European universities. They earn two Masters degrees from those universities together with a certificate awarded by the European Institute of Innovation and Technology (EIT). Students enjoy an array of benefits which includes European mobility, a three-day business challenge, a two-week Summer School, an internship and access to the EIT Digital community. Upon graduation, students are equipped with the tools to become digital innovators.
· European citizen: No tuition fees. Up to 750 Euros monthly allowance
· Non-European citizen: tuition fee waiver of up to 50% and 750 Euros monthly allowance
Application deadline to begin studying in September 2018:
· 15 April 2018 (Open to EU/EEA/CH citizens/ Non-EU citizens*.)
*Please note that this application period is not recommended for applicants who require a visa due to time constraints. If you require a visa to study in an EU country, we recommend you delay your application to November 2018 when the application portal opens again, to start in Autumn 2019.
How should you apply?
To apply, you need to register and submit your application on the EIT Digital Application Portal. You don’t need to do your application all at once. You can access the list of required documents for your application here.
Need more information?
Master School Office: [email protected], we will be happy to help.